367results about How to "Balanced energy consumption" patented technology

An “on-demand” approach for a routing protocol for a wireless network that achieves balanced energy consumption among all participating nodes in the network. Synchronization messages transmitted by nodes associated with an upstream node include local node information (LNI) that a node can use to repair or bypass a lost upstream node in a real or virtual (temporary) manner depending upon the local node's battery level. Only if a repair process fails will a global re-organization (Re-Org) be initiated. The LNI also allows for nodes having lower power availability (battery level) not to transmit the LNI so that unaffiliated node(s) can select an upstream node having more power availability thereby extending network life.

Proposed are a mobile terminal and an application program control method and device therefor. The method comprises the following steps: monitoring screen locking state information about a mobile terminal; when the mobile terminal enters a screen locking state, acquiring one or more application programs running in the background; acquiring the frequency of use of each application program within a first preset time period; and if the frequency of use of the application program is less than a first preset threshold, according to a preset policy, controlling the application program to be closed. According to the method in the embodiments of the present invention, while guaranteeing the user's usage experience, the power consumption of the mobile terminal can be reduced, and the standby time of the mobile terminal can be prolonged, thereby effectively increasing the memory usage efficiency, achieving the balance between the user's usage habit and the energy consumption of the mobile terminal, and improving the user experience.

The invention relates to a wireless sensor network multi-source data fusion method based on queries. The wireless sensor network multi-source data fusion method based on the queries comprises clustering, interest spreading and data transmission. In the clustering process, node residual energy to cluster, density of a node placed area and the distance from cluster heads to a base station are utilized. In the interest spreading process, a sink node firstly spread interest news to all cluster heads which then determine whether interest is spread inside clusters according to actual conditions. In the data transmission process, a neighbor node large in priority is chosen as a next jumping node. A priority function enables query data to be transmitted to the sink node along the route which is small in energy consumption, large in residual energy and short in distance according to introducing of neighbor node positions, the fact that whether introduced nodes are source nodes or the cluster heads, residual energy, communication cost of two nodes and the like, and data fusion is performed on the data intersecting position. The wireless sensor network multi-source data fusion method based on the queries can effectively balance node energy consumption in networks, improve energy using efficiency and prolong a network life cycle.

The invention relates to a topology control method for wireless sensor network based on uneven cluster, belong to sensor technical field, comprising: during the topology generating stage, introducing an uneven minimum mean square subtraction clustering mechanism on a finished cluster in order to reduce energy consumption of in-cluster node; using a strategy based on cluster head energy consumption for setting cluster head changing time, in order to equalize energy consumption on each cluster head node in the network; establishing a cluster head-cluster head energy sensing route, in order to avoid remote wireless transmission; during topology maintenance stage, using a cluster head selection scheme based on node surplus energy and in-cluster node distribution, and using the same strategy to set cluster changing time. With the realization of the method, it can reduce total network energy consumption and equalize energy consumption on each node, in order to prolong cooperative working time of most nodes in the network.

The invention discloses a data aggregation method based on non-uniform grids; the method comprises the steps: randomly distributing a certain number of isostructural sensor nodes in a deployment area and dividing the deployment area into grids with different areas; choosing a cluster head node of the grid in each grid according to the residual energy of the nodes and selectively adding the rest nodes into a cluster according to the principle of proximity; judging whether the data gathered by the member nodes in the cluster comply to Labus criterions; if so, considering that the nodes are valid and sending the data to the cluster head node; or else, not sending the data; aggregating the data of the valid member nodes and the generated data by the cluster head node according to the self-adaption aggregation algorithm; sending data to the nodes by the cluster head node in a multi-hop manner and knowing given round number at the end of the operation. The data aggregation method based on non-uniform grids has the advantages of long network life cycle and strong data effectiveness and can be widely applied to big-data collection and transmission of different-scale wireless sensor network.

The invention discloses a cluster routing method based on a multi-factor trust mechanism developed for a wireless sensor network. The multi-factor trust mechanism is adopted for guaranteeing safety and reliability of nodes. Trust factors are selected by angles of communication, data and energy by the trust mechanism. A 'low-return and high-punishment' mechanism is adopted for preventing malicious nodes from increasing trust values rapidly through short-period lawful actions or surviving in the network in long terms by utilizing low trust values. Meanwhile, when a network topology is established, comprehensive trust values of the nodes are combined with cluster head election values and route communication cost to guarantee trusted cluster head election and trusted route selection. In the process of data transmission, the malicious nodes, selfish nodes and low-competitive nodes are removed according to the comprehensive trust values of the nodes, and thus, a safe and trusted network environment is established.

The invention discloses a wireless sensor network clustering routing method based on particle swarm optimization and ant colony optimization, and belongs to the technical field of wireless sensor networks. The method is characterized in that the method comprises the steps that the optimal cluster quantity of an animal breeding environment detection system is decided dynamically; factors influencing energy consumption are analyzed earnestly; an adaptive value function is constructed; clustering is optimized by using a particle swarm optimization algorithm; and then routing between clusters is optimized by operating an ant colony algorithm in a cluster head node. Therefore, the energy consumption of a sensor node in a network is equalized; the survival time of the network is prolonged; a path with small communication delay is selected; the flow of the network is equalized; and a utilization ratio of a wireless sensor network for animal breeding environment detection is increased.

The invention relates to a construction method of a time-delay-constrained energy consumption balance data acquisition tree in a WSN (Wireless Sensor Network). The construction method comprises the following steps: a data sink node calculates a weight of a node pair subjected to symmetrical network communication according to network topology information; the data sink node calculates shortest weighted paths from all nodes in the network to the data sink node, wherein a set of the shortest weighted paths forms a minimum weighted energy consumption generation tree; finding out the nodes in the minimum weighted energy consumption generation tree, which do not meet network time-delay limit, and calculating a corresponding topology adjusting scheme for each node as a candidate topology adjusting scheme; finding out one scheme with minimum adjustment on node transmission power from all the candidate topology adjusting schemes, and reconstructing the generation tree; and judging whether the nodes which do not meet hop count limit exist in the network, if so, continuously adjusting, and if not, ending the algorithm, wherein the generated generation tree is the final network topology result. According to the construction method disclosed by the invention, data effectiveness requirement is met, and energy consumptions of the nodes in the network are balanced.

The invention discloses a wireless sensor network energy conservation method based on redundancy controlling and clustering routing. The wireless sensor network energy conservation method combines a probability estimation based redundant node control algorithm with a node energy consumption balancing clustering routing protocol which considers multiple factors to realize energy conservation, wherein the probability estimation based redundant node control algorithm includes a method for defining and finding a redundant node and sleep of the redundant node, and the node energy consumption balancing clustering routing protocol considering multiple factors includes LEACH (low energy adaptive clustering hierarchy) based network clustering of introduced clustered factors, redundant data fusion, cluster data forwarding with distance and angle comprehensively considered, and confirmation of cluster rotating period. On the premise of meeting network connectivity degree and cover degree, the wireless sensor network energy conservation method based on redundancy controlling and clustering routing balances network load and improves energy efficiency of nodes to the greatest extent, so that the purpose for prolonging network service life is achieved.

The invention discloses a secure routing method for a converged network of a wireless sensor network and a computer network, which comprises the following steps: the entire converged network is divided into a plurality of clusters, wherein each cluster comprises a cluster head node selected before each turn of communication and a plurality of member nodes; after the clusters are established, a sink node initiates and establishes a multihop multipath for nodes among clusters by broadcasting a Route-Find-Pkt; and the cluster head node monitors the forwarding behavior of a neighbor cluster head node and adjusts the belief value of the neighbor cluster head node according to a monitoring result, and the sink node collects the belief value information notified by each cluster head node in the network, estimates the running status of each cluster head node in real time, generates different grades of notification messages according to an estimation result, and notifies each cluster head node. Under the premise of fully considering security factors, the converged network can effectively defend various attacks in a sustainable energy consumption range by fully relying on the information processing ability of the computer network.

Disclosed in the invention is an ant colony algorithm-based high-energy efficiency wireless sensor network routing method. The method comprises three parts: cluster establishment, transmission in cluster, and transmission between clusters. When a multi-hop relay node is selected, a heuristic ant colony intelligent algorithm is employed to search a multi-hop transmission route; and during the searching process, an expectation importance influence is eliminated and a probability for node selection is completely decided by the link pheromone concentration. And when a local link pheromone is updated, a dump energy minimum value of a collaboration zone node is multiplied by link pheromone increasing degree Q and then the result is divided by transmission energy consumption, thereby completing updating. According to the new pheromone updating method, the dump energy and the transmission energy consumption of the node are scaled appropriately and then are introduced to the link pheromone updating; and when the dump energy of the collaboration zone node at the next hop is increased and the transmission energy consumption is reduced, the node can be selected. Therefore, when the routing method is used, total energy consumption of the network can be reduced; the dump energy of the network nodes can be balanced; and the working life of the network can be prolonged.

The invention discloses an annulus-based node energy consumption balancing method in a heterogeneous sensor network. The method comprises the following steps of: determining the cluster head level by dividing a monitoring region by rings, and arranging two types of sensor nodes with different hardware configurations in the sensor network, wherein the cluster head uses a communication mode with optimal single hop and multi-hop proportion. In the method, a sensor node energy consumption model is used, based on the difference of the energy consumption increasing speeds when transmitting data packets for different distances, and in combination with the disadvantages and advantages of the single hop and multi-hop communication modes, the single hop and multi-hop optimal proportion related to the radius of the monitoring region in a cluster head mixed communication mode is obtained, the load on the node is balanced, and the lifecycle of a wireless sensor network is prolonged effectively.

The invention discloses a node energy consumption balancing method for a wireless sensor network. The method includes the steps of 1, acquiring the distance from each node in the network to a base station; allowing the base station to calculate optimal hop count and optimal cluster number according to the network scale, and allowing each node in the network to calculate the distance from itself to the base station; 2, determining an energy threshold of the current cycle; 3, establishing clusters, namely reserving each candidate cluster head have residual energy larger than the energy threshold as a cluster head, and adding non-cluster-head nodes to different clusters; 4, transmitting stably, namely allowing the nodes in each cluster to transmit data to the cluster head in a single hop manner, and allowing the cluster head to forward the data to the base station in a combined manner of single hop and multiple hops. The node energy consumption balancing method for the wireless sensor network has the advantages that energy consumption is balanced for the nodes and the service life of the network is effectively prolonged.

The invention discloses a multi-sense unequal-radius wireless sensor network route implementing method includes a design phase and an implementation phase. The design phase includes a zoning phase, a cluster head selecting and cluster forming phase, a multi-hop route setting phase and a stable communication phase. The multi-sense unequal-radius wireless sensor network route implementing method has beneficial effects of reducing node communication cost effectively and balancing network energy consumption. Energy consumption of different nodes is balanced and energy conservation during a working process is achieved, which are attributed to a though of double cluster head and non-balancing clustering. The clustering radiuses are comparatively large and the scales of clusters are comparatively large in zones away from Sink nodes. Two cluster heads can be used for sharing energy consumption of data collection and communication. The clustering radiuses are comparatively small in zones adjacent to the Sink nodes and clusters in the zones adjacent to the Sink nodesare more than those in the zones away from the Sink nodes. Therefore, transceiving energy consumption due to inter-cluster multi-hop can be shared by the clusters of a large number and energy consumption in the network can be balanced well. By using the method provided by the invention, network energy consumption can be balanced well and network service lifetime of the network can be prolonged.

The invention provides a clustering routing protocol based on K-mean clustering and ant colony optimization (ACO), i.e., a K-mean clustering and ACO optimal routing (KCAOR) protocol. In multi-level heterogeneous wireless sensor network environment, the best cluster domain number in a monitoring region is determined by an optimal cluster first-number formula firstly, and nodes in a network are then naturally gathered into corresponding cluster domains through adoption of a K-means clustering method; a uniform optimization strategy of the cluster domains is provided, uniform distribution of network energy consumption is achieved, and cluster heads are voted according to residual energy values of the nodes in clusters then; multihop optimal routes between the cluster heads and base stations are determined through adoption of the ant colony optimization, and energy consumption between the cluster heads is balanced; and, in a tail cycle of data transmission, through increasement of node state packages, the base stations can master an operation condition of the network in real time, and optimization of the protocol is achieved. The energy consumption of the network can be effectively balanced, survival time is prolonged, and performance of the wireless sensor network is improved.

The invention discloses a wireless sensor network topological control method based on potential games. A network model is determined, and a sensor network is expressed by a planar topological graph, and a connected network is determined, and then a TCBPG is established. According to the TCBPG, a payoff function of the game is determined to guarantee a Nash equilibrium solution existing in the game, and the TCBPG is defined as an ordinal potential game. After the TCBPG is determined according to the above mentioned steps, a distributed energy consumption equalization topological control algorithm is realized, and is divided into a neighbor discovering phase, a game executing phase, and a topology maintaining phase, and then a stable wireless sensor network topological structure is acquired. From a power control and energy consumption equalization angle, residual energy of nodes and transmitted power of nodes are comprehensively considered to design a new utility function, and a distributed topological control algorithm based on the potential games is provided. According to theoretical analysis and simulation results, the topology constructed by the algorithm is capable of realizing the Nash equilibrium, and is capable of guaranteeing the good characteristics of the network such as connectivity and energy consumption equalization, and therefore the life cycle of the network is prolonged.

The invention discloses a mobile Sink path planning method for an underwater heterogeneous sensor network. The method comprises the following steps: a dual-layer topology network structure is established; an optimal aggregation node laying location is selected by adopting a fitness function and a grid method; a mobile Sink plans the shortest mobile path and mobiles to transverse all aggregation nodes; a shore-based monitoring center sends a remote control command to the mobile Sink in a multi-hop way through the aggregation node upper network; the mobile Sink changes the mobile path in real time according to the control command. The collection and transmission of the network monitoring data are realized through a multi-mode communication way of the underwater sound and laser communicationand the mobility of the mobile Sink, thereby effectively improving the bottleneck problem that the underwater communication rate and the distance are in conflict.

The invention discloses a ZigBee sensor network tree route low-expense optimization method. The method comprises four stages of route finding packet sending, route finding packet processing, reply packet sending and reply packet processing. The flooding operation in the ZigBee sensor network tree route optimization process is limited in the aspects of transmitting nodes and hop count range of the route finding packet, so that flooding expense is obviously reduced. Meanwhile, intermediate nodes are allowed to reply the route finding packet, the flooding expense can be further lowered, and the route finding time delay of the optimal route can be reduced. Moreover, the energy optimal route can be selected in the condition of multiple routes by designing a new route length measurement mechanism, namely synthesized hop count, for simultaneously reflecting the hop count and node residual energy, node energy consumption is balanced, and the node survival time and network service life are prolonged.

The invention provides a simulated annealing-based WSN hierarchical routing method. The method is based on a hierarchical network topology. The hierarchical structure is maintained by cluster nodes, cluster head nodes and sink nodes in a network. The method comprises the steps of firstly, dividing levels of the WSN, constructing the hierarchical structure of nodes, and then conducting data transmission. In the constructing phase of the hierarchical structure of nodes, cluster head nodes are elected and backed up according to energy. In the data transmission phase, a combination of a negotiation mechanism, a multi-hop energy multi-path routing mechanism and a simulated annealing algorithm is used, cluster nodes use the negotiation mechanism to transmit data to cluster head nodes, after data fusion is conducted by cluster head nodes, the data are transmitted to sink nodes, the multi-hop energy multi-path routing mechanism is used between cluster head nodes and sink nodes, the simulated annealing algorithm is used for seeking out an optimal path, and the data are transmitted from cluster head nodes to sink nodes along the optimal path.

The invention discloses a clustering routing method of a wireless sensor network. The method comprises the steps of randomly selecting a plurality of nodes from the wireless sensor network for serving as cluster head nodes, wherein communication among the cluster heads adopts a (routing protocol for low-power and lossy network (LLN)) RPL manner; when one cluster head node externally send an OFFER message for inviting other nodes to become the cluster member nodes of the cluster head node, controlling the number of cluster member nodes carried by the cluster head node according to the position of the current cluster head node in an RPL routing tree for finishing a clustering and networking process; when data routing is performed, sending acquired data to a corresponding cluster head node through a single hop routing manner by the cluster member nodes; transmitting the data to root nodes by the cluster head node by adopting an RPL routing manner. Through adopting the method disclosed by the invention, the depth of a topological tree is reduced, the energy consumption of the nodes is balanced, the connectivity of the network is maintained, and the network stability is improved.

The invention relates to a multi-agent anomaly detection method based on the Internet of things, which is an anomaly detection method for a wireless multimedia sensor network. In the method, the multi-agent technology is introduced mainly to solve the problem of the abnormal situation in the operating process of the wireless multimedia sensor network. The scheme of the multi-agent anomaly detection system is characterized in that: coordinating through a local agent, and monitoring a local sensor network autonomously, independently and promptly; when the terminal finds that the audio / video and other data are abnormal or the network needs regular maintenance, detecting whether the network is abnormal through issuing global agency; and if the abnormal situation occurs to the network, repairing the network dynamically and autonomously to ensure the correct operation of the network. The method of the invention can promptly detect whether the abnormal situation occurs to the network, and repair the network within a limited period to restore the normal operation of the network. Moreover, the invention can reduce the network congestion rate, balance the energy consumption of the network, efficiently utilize resources of the total network, improve the fault tolerance of the network and ultimately prolong the life cycle of the entire network.

The invention relates to a routing algorithm for dynamically adjusting a forward angle based on residual energy, belonging to the field of communication. When a certain node prepares to select a next-hop node, whether the residual energy of a neighbour node in the forward angle range of a current node is less than a residual energy threshold value of a node or not can be judged; if the residual energy of the neighbour node in the forward angle range of the current node is less than the residual energy threshold value, the forward angle of the node is increased; and, if a node, the residual energy of which is not less than the residual energy threshold value, exists in the neighbour node in the forward angle range of the current node, selection of the next-hop node is carried out by following a probability transition function. The routing algorithm disclosed by the invention is reasonable in design; a key node can be sheltered better; the network energy consumption can be balanced; the energy consumption uniformity degree of the node is improved; the information transmission success rate is also relatively high; the effective network coverage rate can be kept better; the robustness of a wireless sensor network can be improved; and premature paralysis of the network can be effectively prevented.

The invention provides a probability type wireless sensor network routing method based on energy harvesting. The method comprises network initialization, round cluster process, node maintenance and exception handling. In the round cluster stage, an algorithm takes energy efficiency into consideration while introducing energy harvesting factors, so that a node with high energy harvesting speed and residual energy is likely to be elected as a cluster head; and a novel probability type routing algorithm is adopted to perform data transmission among clusters in the routing process of the cluster head. Different from the traditional clustering routing which reduces energy consumption to the greatest extent, the method aims to increase the utilization ratio of the harvested energy the greatest extent and introduce novel probability type routing in the cluster head data transmission process, so that the energy harvested by the node can be effectively utilized, the energy consumption of the cluster head node is balanced, the phenomenon that the cluster head node near the converging node is converted into a sleeping state untimely due to high energy consumption is avoided, the work time of the node in the network is prolonged, and the whole performance of the system is improved.

The invention discloses a wireless sensor network clustering method and system. The method comprises the following steps of: calculating the number of clusters of a wireless sensor network; selectingthe initial clustering center of k-means clustering algorithm by a region method, the initial clustering center being a cluster center; dividing nodes to be clustered in the wireless sensor network according to the number of clusters and the cluster center; judging whether the number of nodes in each divided cluster is within the threshold range; if yes, selecting a cluster head of each cluster; if not, adjusting the number of nodes in the cluster by splitting and merging; according to the cluster head and all nodes in the cluster, establishing data transmission routing, and completing clustering. The method and the system can make the clustering more uniform and the energy consumption of nodes in the network more uniform.

The invention discloses a wireless sensor network data acquisition method based on a predictable mobile Sink position. The method includes the steps of on the basis of sensor nodes undergoing periodical network clustering through an HEED algorithm, calculating coordinate information of a mobile Sink node in a network on the basis of a known network parameter, carrying out routing of data packets to the position where the Sink node is located, and the Sink node periodically collects data from the sensor nodes within specific dwell time of stagnation points on a preset track according to the proportion of data amount generated by each quadrant node in the whole network data amount. Therefore, the method supports the fact that the sensor nodes of the whole network route the data packets to the mobile Sink node in real time, and data collection delay is shortened. The mobile Sink node does not need to broadcast current position information when moving between the stagnation points, so that communication cost is reduced. The dwell time is adjusted continuously at each quadrant stagnation point, so that network energy consumption is balanced and service life of the network is prolonged.

The invention discloses a tree structure-based data aggregation method with reliability assurance. The aggregation method comprises the following steps: generating a tree creating module, an in-tree data aggregation module and a data detection module, and generating a tree revising module. The aggregation method adopts the tree structure to realize fast aggregation of data in the network, ensure that data can be conveniently found and used in the entire network, reduce the communications of the network in the data aggregation process and prolong the service life of the entire network; and the data detection method and the method of generating tree revise are both adopted and the phenomenons such as the damage and death of node can be monitored and found, thus increasing the accuracy and effectiveness of data transmission in the network and the reliability of the entire network.

The invention discloses an LEACH algorithm optimization method based on energy consumption balance, belongs to the technical field of wireless sensor networks, and aims at balancing the energy consumption of sensor nodes and prolonging the life cycle of the wireless sensor network. The method aims at the defects of an LEACH protocol and makes improvements on the LEACH protocol from three aspects of clustering number, cluster head selection and data transmission. Reasonable cluster head number selection is carried out on the network nodes, so that the overall load of the network can be effectively balanced; the residual energy of the nodes is considered, so that the nodes with relatively low energy are protected. During a data transmission process of a cluster head and a base station, optimal path transmission is selected according to a tabu search algorithm, so that the energy consumption is reduced. According to the method, the life cycle of the wireless network is effectively prolonged, the energy consumption of the network is balanced, and the performance of the network is optimized.

The invention discloses a wireless sensor network balanced energy consumption route method based on non-uniform clustering. A wireless sensor network includes a plurality of independent clusters and aggregation nodes, and each cluster includes a cluster head node and a plurality of ordinary nodes; the clustering radius Ri of the cluster head is increased progressively along with the distance d from the cluster head to the each aggregation node and the probability CHprob that one node forms the cluster head; and for an isolated node added to the cluster to which the node nearest to the communication radius of the isolated node belongs, when no node is arranged within the communication radius of the isolated node, the isolated node forms a cluster independently. According to the method, during data transmission, an in-cluster single hop data transmission manner and a multi-hop data transmission manner among clusters are adopted, a cluster head node is selected from cluster head nodes of the adjacent cluster to serve as a relay node for each cluster head node, so that data can be transmitted to the aggregation node; and the method realizes the balance of energy consumption among the clusters and within the cluster, and prolongs the life cycle of the network.

The invention discloses an energy-saving-oriented high-reliability data storage method in a data center environment, aiming at solving the technical problem that a hybrid high-reliability data storage method is provided under the condition of an energy-saving-oriented closed node. In the method, a large number of nodes are allowed to be closed so as to reduce power consumption, and at least one copy of all data is ensured to be stored on active nodes, thus availability of the data is kept. The method comprises the following steps of: firstly dividing clusters and numbering nodes in racks to form logical rings as well as numbering the nodes among the racks to form mutually non-intersected rings; then dividing files to be stored and determining backup quantity of data; and determining a copy placement position of each data block in a queue by adopting a hybrid data storage method. In the method, large-scale node closure and reduction of the power consumption can be supported, reliability of the data can be ensured, and data recovery capability is strong, thus the problems of the energy consumption of a data center and the reliability of the data are effectively solved.