1336 results about "Mobile wireless sensor network" patented technology

Methods and apparatus for global wireless sensor network architecture and protocol for remote supervision, asset control and operational management based on localized clusters of autonomous sensor/supervision/operational sensor nodes capable of ad hoc interconnection with nearby nodes and connection to gateway nodes with increased network functionality. These localized cluster nodes send data to gateway nodes either directly or through multi-hop transactions. The gateway nodes are, in turn, connected to other gateway nodes and operations control centers either through wireless or wired data communications links. Utilizing the Internet for long range interconnectivity, the network is scaleable to a global level. The resulting network is based on an ad hoc mesh topology to allow flexibility in network modification and expansion and is comprised of a tiered structure defined by increasing functionality. A current application for this technology is the remote control and supervision of lighting systems for facilities and municipalities on a local, national and/or global basis from centralized regional operations centers.

The wireless sensor network with energy efficient protocols includes a network of external sensors in communication with a data sink. The network utilizes an algorithm integrating a modified S-MAC (an algorithm for medium access control) protocol for decreasing energy usage in operating the node and associated sensors. A routing protocol is further integrated into the algorithm, the routing protocol being based upon cluster head rotation.

A wireless communication module is used to implement an ad-hoc wireless sensor network. The wireless communication module is configured to interface with numerous and varied types of sensors and, in one particular embodiment, is used to implement an ad-hoc wireless sensor network for an aircraft engine. The modules are also configured to implement various functions to optimize ad-hoc network functionality and to minimize the electrical power dissipated by each module in the ad-hoc network.

The invention relates to a wireless sensor network all-moving node positioning method based on an RSSI. An existing range-based positioning algorithm is usually used for static node positioning or is used for the condition that partial nodes are moving and partial nodes are static, the RSSI range-based positioning algorithm has not been used for node positioning under the condition that all of anchor nodes and unknown nodes are in a moving state, and the existing algorithm fails to realize node positioning under the condition that the number of the anchor nodes is less than 3. The invention aims to overcome the defects of the prior art and provides the wireless sensor network all-moving node positioning method based on the RSSI. According to the invention, when the unknown nodes are in communication with four, three, two and one anchor node, different algorithms are adopted to obtain the positions of the unknown nodes.

The invention relates to a hybrid remote wireless sensor network system and a communication method thereof. The hybrid remote wireless sensor network system comprises a plurality of wireless terminals, more than one relay and a gateway. The wireless terminals are taken as end nodes of the network, are mobile nodes and are used for collecting user information, sending the information to the gateway and receiving the information from the gateway. The relays are taken as intermediate nodes for communication and are used for forwarding the information from the terminals and the gateway and providing a synchronous mechanism for communication in a coverage range of the relays and a data routing function. The gateway is taken as a sink node of the network and is used for receiving the information from the wireless terminals and the information forwarded by the relays, providing the synchronous mechanism for the wireless sensor network and is responsible for managing the wireless terminals in a management network. The wireless sensor network provided by the invention is established through adoption of a low-power-consumption remote wireless technology, such as a LoRa modulation technology and a Sigfox technology and has the advantages of low power consumption and long transmission distance.

The invention provides a method and a system for the fusion of multi-source monitoring data based on a heterogeneous clustering wireless sensor network. The system comprises a plurality of monitoring nodes, a plurality of cluster head nodes, a plurality of trunk nodes, a gateway node and an upper computer. The method comprises the following steps: after the gateway node switches on the upper computer, a PAN network in conformity with the ZigBee protocol is established; after the cluster head nodes and the trunk nodes are electrified, the cluster head nodes and the trunk nodes search for and join in the PAN network to form a wireless meshed network; the cluster head nodes receive broadcast packets of the monitoring nodes to carry out correlation calculation, and provide the calculation result to the upper computer through the wireless meshed network to carry out clustering processing; and then, the monitoring nodes in the cluster acquire environmental data according to the clustering result and send the data to the cluster head nodes in the cluster, and the cluster head nodes send the acquired environmental data to the upper computer through the wireless meshed network to be subjected to corresponding processing based on different sources of the environmental data. Thus, the heterogeneous clustering wireless sensor network and the wireless meshed network are combined, and the advantages of the both can be fully used for data acquisition.

The invention discloses a network netting and a routing method of a Bluetooth wireless sensor, which combines sensor network technique and Bluetooth technique and makes full use of the matured physical layer, MAC technique and anti-interference capacity of Bluetooth network when the sensor nets network, so as to lead the system to conveniently and rapidly net the network. A designed Bluetooth scatter net takes the practical use of a wireless sensor network into consideration when netting and uses a tree topology. The netting consists of three stages: the selection of a root node, the forming of a root piconet and the expansion of the network. By adopting the netting method based on that the energy can be predetermined and the service time of the network can be prolonged, and under the requirement of emphasizing the longest service life of the network, each piconet of the formed wireless sensor network is left with vacant positions and backup nodes, so as to lead the formed network to have better reliability, flexibility and self-recoverability to satisfy the situations that partial nodes can be added on, moved and leaves the network, etc. The routing information is interacted when the system is net, and when the network netting is completed, the routing information tables of all the nodes are built simultaneously. When the network is operated, a low-power respiratory mode of the Bluetooth network and the transmitting and sensing information of the network periodicity are used for prolonging the life service of the whole network.

The invention discloses a formation system and a formation method of a multi-mobile robot based on a wireless sensor network, which belongs to the field of wireless sensor network and multi-robot control and solves the problem that the measuring range and the measuring accuracy are easily affected by environmental factors as multiple sensors are depended in the traditional multi-robot formation. In the formation system of the multi-mobile robot, the wireless sensor network is formed by gateway nodes, multiple beacon nodes, multiple master robot nodes and slave robot nodes, the communication between an upper computer monitoring system and the gateway nodes is realized through a serial communication port, the state monitoring for mobile nodes in the wireless sensor network is realized, and the beacon nodes which are used as fixed nodes are used for supplying position information support for the mobile nodes. In the formation method disclosed by the invention, target point position is sent to the master robot nodes through the gateway nodes by adopting an upper computer, the own positions of the master robot nodes and the slave robot nodes can be determined through the beacon nodes, and the master robot nodes drive all the slave robot nodes to carry out autonomous navigation towards the target point.

The invention relates to the field of wireless self-organizing networks and sensor networks, in particular to an energy consumption control method under delay constraint in a wireless sensor network. The energy consumption control method comprises the following steps of: generating a normal data packet and a pioneer data packet by a source node when data packets in the wireless sensor network need to be transmitted to a base station from the source node, wherein the normal data packet is used for transmitting the data packets, and the pioneer data packet is used for selecting nodes on a transmission path; determining the delay constraint of the nodes on the transmission path; computing the best sleep time of the nodes on the transmission path; applying the best sleep time to a duty ratio self-adaptive adjustment mechanism to obtain new duty ratio to transmit the data packets; and respectively recovering work cycles of all the nodes on the transmission path into an original state after all the data packets are transmitted to the base station. According to the energy consumption control method under the delay constraint in the wireless sensor network, on the premise that the constraint condition of the wireless sensor network on transmission delay is met, the energy consumption of the wireless sensor network is reduced to the maximum limit, and the service life of the wireless sensor network is prolonged.

The invention relates to a congestion control method for a wireless sensor network, which comprises the following five steps: 1) at a source end of the sensor network, choosing representative nodes instead of all sensing nodes to report events; 2) detecting the congestion by the nodes according to an occupancy rate of a local buffer zone; 3) dividing the nodes between the source and a gathering node sink into far sink nodes and near sink nodes according to the distances from the nodes to the gathering node sink; 4) if detecting the congestion by the far sink nodes, sending a backward congestion report and spreading the report information along the direction of a data source, and adopting a congestion processing method based on flow scheduling by the node which receives the report information; and 5) if detecting the congestion by the near sink nodes, sending a forward congestion report to the gathering node sink, and adjusting the speed or quantity of the representative nodes by the gathering node sink according to an application requirement after receiving the congestion report information. According to the method, the congestion problems probably occurring in different areas of the wireless sensor network are solved by using different processing methods, thereby timely and efficiently avoiding or relieving congestion.

The invention discloses an energy priority node clustering method for a wireless sensor network. The method comprises the following steps that: after network deployment is finished, a base station starts running all nodes in a network by transmitting a broadcast signal; each started node in the network computes own threshold value for becoming a cluster head; the nodes of which rest energy is more than or equal to the average energy of the network and which generate random numbers lower than the threshold values in the network are selected to be the cluster heads; the cluster heads broadcast own cluster head messages to the whole network, and each ordinary node computes own distances away from the cluster heads according to received signal strength after receiving the cluster head messages, and is added into the closest cluster as a cluster member; and the cluster heads allocate time division multiple access (TDMA) timeslots to each cluster member, so that each cluster member performs communication according to the allocated timeslots. By the method provided by the invention, the time to live of the network can be remarkably prolonged, and performance remarkably higher than that of a low energy adaptive clustering hierarchy (LEACH) protocol is ensured.

The invention discloses a wireless sensor network system for monitoring real-time data of a power grid, which comprises a wireless sensor node, a gateway node, an Internet network and a monitoring center data platform, wherein the wireless sensor node is used for collecting real-time running state parameters of power grid equipment and transferring the collected parameters to the monitoring center data platform through the gateway node and the Internet network; the monitoring center data platform is used for monitoring the received real-time data of power grid equipment; and the wireless sensor node and the gateway node are connected to a power supply module. The timely induction for internal risks of the power grid equipment and the judgment on the equipment running state of a circuit are realized, by utilizing the wireless sensor network system provided by the invention in the manner of data monitoring. The gateway node of the wireless sensor network system has high transmission speed and strong anti-jamming capability; the wireless sensor node and the gateway node can be used for efficiently acquiring and storing energy; and the long service lives of the wireless sensor node and the gateway node are realized.

The invention relates to a monitoring technology for the aquaculture environment of fresh-water fish and discloses a monitoring system for the aquaculture environment of the fresh-water fish on the basis of a wireless sensor network. The monitoring system comprises cluster head nodes connected with i nodes, wherein k cluster head nodes are connected with collecting nodes; m collecting nodes are connected with a monitoring center; and all i, k and m are natural numbers. The monitoring system is characterized in that the nodes, the cluster head nodes and the collecting nodes are configured with a water temperature sensor, a dissolved oxygen sensor, an aerator, a node processing module and a wireless transmission module. The collecting nodes also comprise an atmospheric pressure sensor, a PH value sensor and a communication module; the atmospheric pressure sensor, the PH value sensor and the node processing module are connected; and the communication module is connected with the wireless transmission module and is used for transmitting data to the monitoring center and receiving an instruction. The monitoring system disclosed by the invention can realize large-range wireless monitoring network layout, and is very suitable for automatic control of large-scale fresh-water aquaculture.

The invention relates to the technical field of storage logistics, and particularly discloses a monitoring system and a monitoring method for tobacco storage based on a wireless sensor network. The monitoring system for the tobacco storage based on the wireless sensor network comprises multiple varieties of wireless sensors which are arranged in each tobacco pile, a cluster point which is arranged corresponding to each tobacco pile, a central node which is respectively connected with the cluster points in a communication mode, a server and a management center, wherein the multiple varieties of wireless sensors at least comprise a temperature and humidity sensor and an oxygen content sensor, each cluster point is connected with the multiple varieties of wireless sensors in the tobacco pile corresponding to each cluster point in a communication mode, and the cluster points are connected with the management center in a communication mode. According to the monitoring system and the monitoring method for the tobacco storage based on the wireless sensor network, tobacco storage parameters are monitored based on the wireless sensor network, automatic remote monitoring and alarm can be achieved, quick on-line monitoring and wireless automatic reporting are achieved, abnormal situations of tobacco leaves are discovered in time, and therefore the dispose of the abnormal situations is conducted in time.

The invention discloses a sewage monitoring network structure based on a wireless sensor network, comprising a monitoring center, a plurality of sewage parameter monitoring systems and a sewage treatment process monitoring system, wherein the sewage parameter monitoring systems are connected with the monitoring center by the wireless sensor network and is based on a ZigBee network; each sewage parameter monitoring system and the sewage treatment process monitoring system respectively comprise a communication module, a base station and sensor nodes; the communication module communicates with the wireless sensor network; the base station communicates with the communication module; the sensor nodes are connected with the base station; the base station is used for receiving and fusing data transmitted from the sensor nodes and outputting the data to the communication module; and the sensor nodes are used for monitoring parameters of sewage or the sewage treatment process, and transmittingthe monitored data to the base station by the ZigBee network; and each sensor node comprises a ZigBee module. In the sewage monitoring network structure, by utilizing a wireless sensor technology, the environmental accidents can be found in time, the occurrence and the development of the accidents can be monitored and estimated and then emergency strategies and measures can be made.

The invention relates to an atmospheric pollution monitoring system based on a wireless sensor network, which comprises wireless sensor network nodes, wireless sensor network sink nodes, local monitoring subcenters, a remote control terminal and a mobile phone terminal. Besides the atmospheric pollution monitoring system based on the wireless sensor network, the invention also customizes a wireless sensor network multi-level heterogeneous clustering routing protocol at the stage of network self-organization; the design of the system is reasonable, the system is easy to deploy, and the intelligent degree is high; when being applied on a large scale, the system can balance the energy consumption of the wireless sensor network nodes, accurately and timely reflect the situation of atmospheric pollution and give the alarm, the wireless sensor network nodes within monitored areas can be conveniently self-networked, and are highly scalable, a large-scale monitoring system can be constructed, and the system is suitable for popularization and application.

The invention discloses a forest fire positioning and alarming system based on a wireless sensor network, which relates to the field of wireless transmission and fire monitoring. The forest fire positioning and alarming system consists of a terminal node and a convergence node, wherein the terminal node consists of a coordinator node, a router node and an acquisition node. The invention further discloses a forest fire monitoring, finding, positioning and alarming method based on the wireless sensor network and a terminal node arrangement method. A sensor of the terminal node is used for monitoring a forest environment and a fire extinguishing point. The system has the advantages that: the wireless sensor network is applied to forest fire prevention, an origin of fire is positioned according to the characteristic of any terminal node in the wireless sensor network, and all nodes in the entire network have monitoring and positioning functions. According to the advantages of zigbee and embedding, a fire positioning and alarming system with low cost, low power consumption and high interference resitance is established.

The embodiment of the invention provides an efficient inhomogeneous clustering routing method of a wireless sensor network, which is suitable for a large-scale wireless sensor network with a layered structure. Sensor nodes form candidate cluster head nodes in a certain proportion, the candidate cluster head nodes acquire local information and estimate local information by applying a fuzzy logic method to form probability of the final cluster head node and the radius of the cluster corresponding to the final cluster head node, and an optimal cluster head is selected through local competence for carrying out construction of inhomogeneous clusters. A multi-hop mode is adopted in inter-cluster data transmission, multi-hop data transmission characteristics are considered, and the efficient inter-cluster route is established in the cluster head nodes by adopting an adaptive maximum-minimum ant colony optimization strategy. According to the routing method, energy utilization efficiency of the nodes can be increased, energy consumption of the nodes is balanced, and life cycle of the network is prolonged.

The invention relates to the technical field of communication, in particular to a sensor node distribution density control method based on information flow accumulation. The method mainly includes the following steps that first, according to the information flow-rate needing to be forwarded by sensor nodes at different positions in a network, the average service load condition of the sensor codes in different monitored areas is estimated; then, by the means of the average service load condition of the sensor codes, total energy consumption for sensing, receiving and sending data in different monitored areas is calculated; finally, according to the average energy consumption ratio in different monitored areas, the deployment density of the sensor nodes in all the monitored areas in the network is estimated. Through the network constructed with the sensor node distribution density control method based on information flow accumulation, the energy hole problems existing in the wireless sensor network can be effectively solved, and the method has good adjustability and can meet the requirement for energy consumption balance of the wireless sensor network and the coverage degree in the monitored areas in different environments.