97 results about "Mobile sink" patented technology

The invention relates to an information passing method of a wireless sensor network. According to the method, a sensing area is designed into a grid structure. Each grid unit has only one cluster head node. The cluster head nodes are responsible for communicating with the cluster head nodes in adjacent grid units. Mobile sink nodes select to communicate with the cluster head nodes in the nearest grid units. Alternation of the cluster head node in each grid unit is decided according to surplus energy and distance to the center of the grid unit, and the node with the highest surplus energy is taken as the cluster head node. Two mobile sink nodes are deployed at the periphery of the sensing region. According to the method, the existing defects that energy holes are liable to appear due to rapid energy consumption and the life cycle of the wireless sensor network is reduced are overcome. According to the method, the traffic load that the sink nodes broadcast positions to the network is reduced, the energy hole phenomenon is avoided, the extra energy consumption is avoided, the transmission number of hops of the node data is reduced, and the service life of the network is prolonged.

A method, apparatus, and computer program product are provided for routing data packets through a wireless sensor network to a mobile sink in a relatively quick and efficient manner while utilizing low protocol overhead. Additionally, a method, apparatus, and computer program product are provided such that a sensor node within a wireless sensor network maintains sink information and routing information to facilitate efficient delivery of a data packet to a mobile sink within a wireless sensor network.

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 route recovery method and a recovery protocol for a mobile Sink wireless sensor network. The method and the protocol are characterized in that: when the location of a mobile Sink is changed to disconnect a path of the mobile Sink wireless sensor network, current information may be collected to update a route map, and path coding is performed; an optimal alternative path is selected by adopting an immune orthogonal learning particle swarm optimization algorithm to perform route recovery; and a network system is maintained by adopting the protocol based on the immune orthogonal learning particle swarm optimization algorithm. The immune orthogonal learning particle swarm optimization algorithm has the characteristics of relatively higher global searching capability, relatively higher solution accuracy, high rate of convergence and the like. By the method and the protocol, the route maintenance capability of the mobile Sink wireless sensor networks is improved, the maximum transmission success rate is realized by utilizing the shortest transmission path, network throughput is improved, and the time to live of the network is prolonged.

The present invention relates to an ant colony algorithm-based mobile Sink node data collecting method. A wireless sensor network performs clustering operation on sensor nodes by using an LEACH protocol so as to obtain cluster head nodes; the cluster head node collects data of member nodes in a cluster; an important degree of the data is marked by using hormone information through an improved ant colony algorithm; adjacent matrixes are calculated according to a hormone concentration of each member node in the cluster and with an Euclidean distance between cluster head nodes as a visibility factor; all cluster head nodes are traversed; an optimal moving path of Sink nodes is searched; and finally, the Sink nodes are moved according to the optimal path. The present invention provides a method for solving problems of funnel effect and energy hole in data collection of the wireless sensor network. The method can ensure that important information is sent in time in the network, and effectively shortens data time delay.

The invention relates to a lifetime optimization method of a mobile Sink-based wireless sensor network. The method includes the following steps that: 1) after the network is started, a sink node broadcasts an information query packet and receives the position coordinate information of sensor nodes, and adds the position coordinate information of the sensor nodes into a sensor node information table of the Sink node; 2) the Sink node analyzes constraint conditions, and establishes a data transmission delay and hop count-constrained network lifetime optimization model; 3) the Sink node uses a modified genetic algorithm to solve a network lifetime optimization model, and optimal schemes about network lifetime, the movement path of the Sink node and stay time at each stay position of the Sink node are calculated. With the lifetime optimization method of the mobile Sink-based wireless sensor network of the invention adopted, network lifetime can be prolonged, and node energy consumption and node data loss can be decreased.

The invention provides an energy-efficient routing algorithm (MEERP) for a wireless sensor network, and belongs to the technical field of the wireless sensor network application. This algorithm introduces a mobile sink node and a mobile relay node, considers a size of the network and a quantity of the nodes, and divides the network into several square areas; and then according to a weight sum of node residual energy and a cluster barycentric coordinate distance, a cluster head is selected. The nodes in a grid is communicated with a cluster head node through a multi-hop manner; a controllable mobile strategy is used for the mobile sink node, and when the mobile sink node moves to near the cluster head node, the cluster head node directly sends collected data to the mobile sink node; and a regular mobile manner is used for the mobile relay node in the network, and when the mobile relay node moves to a same position as a sensor node, the mobile relay node takes a forwarding task of all packets of the sensor node, but the sensor node only sends data which are sensed by the sensor node. This algorithm is mainly used in the wireless sensor network route control field.

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 route maintenance method of multiple mobile Sink wireless sensor networks (MMS-WSNs). When a certain Sink node position in a network changes or a relay node is damaged to cause a communication path of the MMS-WSNs to break, the Sink node selects an Agent node to collect network node information to code the path. An internal secretion particle swarm coevolutionary algorithm is used for searching the optimal substitute path to restore the route. A route maintenance method base on the algorithm is used for maintaining the network system. The internal secretion particle swarm coevolutionary algorithm can provide faster global convergence speed and higher solving precision so as to seek a substitute route fast. The route maintenance method of the MMS-WSNs can promote the route maintenance capacity of the MMS-WSNs, reduce delay and energy consumption of network transmission, balance the network load and prolong the service life of the networks.

The invention relates to a WSN of a mobile sink and a mobile sink data collection method based on a greedy path. The WSN comprises one mobile sink node and more than two sensor nodes. The method comprises the steps that the WSN is divided into a plurality of clusters with the balanced sizes; the mobile sink node determines one greedy path for accessing the clusters in sequence; the mobile sink accesses all cluster nodes repeatedly by means of the determined path and collects signals; the signals of the cluster nodes are transmitted to the mobile sink in one-hop or multi-hop mode through the adjacent clusters in the path; in a data collection process, a timer mechanism is adopted for avoiding processing of repeated data, and energy consumption of the sensor nodes is reduced. According to the method, time delay of data collection is shortened, energy consumption of a network is balanced, and service life of the network is prolonged.

The invention provides a mobile assistance WSNs routing method based on unequal clustering, comprising an initial phase, a clustering phase, an RPs (rendezvous points) determining phase and a routing phase. The initial phase is a network deployment phase and determines the movement track of a sink. The clustering phase considers factors such as the distance gradient between a point and a mobile sink, the rest energy of a candidate cluster head, etc. The RPs determining phase discusses the selection number and width of an RPs set, and specific sets, and simplifies a 0-1 integer programming model specific to the selection problem of an RP salve cluster head point set, wherein an approximately optimal RPs slave point set of an integer programming solution is obtained through a genetic algorithm. The routing phase employs multiple levels of routing, wherein the cluster head collects cluster member message data (including data fusion) and plays the role of a relay point, and PRs buffer messages transmitted by cluster head points into the mobile sink.

The invention discloses a mobile Sink data collection method for a wireless sensor network based on a tree cluster. The method comprises the steps of establishing a distributed tree cluster; calculating node weights by taking surrounding energy and density information of nodes into comprehensive consideration; selecting suitable root nodes as resident points RPs of a mobile Sink through distributed information exchange of a local range; accessing all RPs by the mobile Sink for data collection in a stable data collection stage; providing a new conditional re-clustering method; setting data collection number of rounds; and selecting new RPs for alternation. According to the method, the hotspot problem can be effective mitigated; the network load can be balanced; the energy consumption of nodes can be reduced; and the network lifetime can be prolonged.

The invention provides a data transmission method for a wireless sensor network with a mobile sink node. The wireless sensor network is divided into a plurality of areas through application of the particle swarm optimization; a sensor node is selected from the sensor nodes of each area as a cluster head through application of a similar clustering algorithm; cluster heads communicating with the mobile sink node are determined through three data messages of hello, message-s and message-h. According to the method, an energy hole phenomenon is eliminated, network traffic loads are mitigated, the throughput of the whole wireless sensor network is improved, and a life cycle of the wireless sensor network is greatly prolonged.

The invention discloses a mobile Sink data collection method applied to a wireless sensor network and used for node internal-memory resource sharing. A mobile Sink moves along a preset track at a constant speed, stops RP points uniformly distributed in the network and collects node data in a K jump generation tree formed by taking the RP point as a root. Caching emergency and time emergency are defined, and internal-memory pressure can be relieved by sharing internal-memory resources with adjacent nodes in a same tree when nodes are in caching emergency, and internal-memory pressure can be received by sharing internal-memory resources of adjacent trees when the tree is in caching emergency. Packet loss caused by overflow of internal memory of the nodes is reduced through internal-memory resource sharing among the nodes. During time emergency, the nodes actively upload data packets of time emergency to the mobile Sink, so that the data packets are disabled to exceed a deadline due to transmission delay.

The present invention provides a sink assembly formed from a plurality of injection molded plastic panels having integrated connectors which are capable of being packaged and shipped in a knock-down state and constructed to form an aesthetically pleasing sink assembly. The integrated connection of the side walls, front, back, and bottom panels and sink components simplifies the sink assembly construction. The panels are formed of injection molded plastic to interlock with one another without the need for fasteners or connectors. The system incorporates a minimum number of connectors by integrally forming the connectors into the panels which are snapped together to complete the assembly.

The invention discloses a wireless sensor network mobile sink data collection method based on data value dynamic estimation, and belongs to the field of sensor networks. The method comprises the steps that a data spatial distribution graph is constructed through combination of historical data; data collection order of sensing nodes in a sensing network is confirmed according to the data spatial distribution graph; and a sink node is enabled to complete data collection of the sensing nodes in the sensing network according to the data collection order. The data spatial distribution graph is constructed and time and space correlation of the data is taken into the sink node to be the consideration factor of data collection so that possibility that an objective result cannot be obtained later due to high similarity of the acquired data can be avoided, waste of network resources can be reduced and the statement period of the network can be prolonged.

The invention relates to a simple network data collecting method of a mobile wireless sensor, which belongs to the technical field of the network data of a wireless sensor. The invention is characterized in that a mobile Sink node only broadcasts the self existence to the wireless sensor node within one-hop range in the moving process, other nodes except the wireless sensor node within the one-hop range of the mobile Sink node judge the option Distance_to_Mobile Sink in a packet to know whether the packet can reach a certain Sink node via a neighbor thereof or not via monitoring the packet of neighbor nodes, and the distance is smaller than the distance between the node and the nearest fixed Sink node thereof, so the broadcasting features of the wireless network are fully utilized, the expense for acquiring a control packet of the existence information of the current moving Sink node is greatly reduced, and simultaneously, the grouping transmission efficiency is increased.

The invention discloses a mobile sink path planning method based on a deep reinforcement learning algorithm. A mobile sink path is planned by using a deep reinforcement learning algorithm. A rasterized network state is mapped to an RGB image and the RGB image is input into a deep convolutional neural network, and network parameters are updated constantly through training. In practical application,an actual network state is only input into a trained neural network, so as to obtain an optimal traveling path of sink. The method considers a data delay requirement and network energy consumption ofa wireless sensor network comprehensively. Compared with a traditional wireless sensor network, the method can balance network energy consumption effectively and can improve energy efficiency. Rasterisation of the network state makes network state less complex.

The invention discloses a development method of Sink nodes of a mobile wireless sensor network (WSN), belongs to the field of data aggregation of the WSN, and mainly solves the problems that during a traditional data aggregation of a WSN, the Sink nodes are difficult to deploy, sensing fields are not communicated, energy easy to remain in the fields are unbalanced, and the like. The development method is characterized in that the development method comprises the steps that (1) a miniature four-rotor aircraft is adopted as a moving platform of the mobile Sink nodes; (2) the path obtained by the optimal Hamilton path seeking algorithm is adopted as a flight trajectory of the mobile Sink nodes; (3) the data transmission manner of the WSN is fusion-storage-forwarding; and (4) a data collection hovering point is adjusted through measuring the quality of links between the Sink nodes and sensing nodes in a real time manner. The development method has application advantages in the aspects of disaster and environment monitoring, wide animal habit monitoring, intrusion detection, safety monitoring, and the like.

The present invention relates to a mixed sink node WSN and a data collection method thereof. The WSN includes a fixed sink node, at least one mobile sink node and more than two sensor nodes. The method comprises the following steps: the mobile sink node periodically distributes a beacon frame to an adjacent sensor node; the sensor node which receives the beacon frame sends a data packet to a mobile sink node in a hop range, or temporally stores a delay tolerance data packet to a buffer area, and sends a real-time data packet to a next hop sensor node of the fixed sink node according to the routing; the sensor node which does not receive the beacon frame sends the data packet according to the routing. According to the mixed sink node WSM and the data collection method, a problem that a WNS hotspot area and a present WSN can not process different data types at the same time is solved.

The invention presents a method for transmitting information in a wireless sensor network. The method comprises the following steps: placing a mobile sink node with a fixed moving trajectory on the edge of a sensing region; equally dividing a wireless sensor network into a plurality of clusters, wherein the clusters select their respective cluster heads; connecting the cluster heads into a chain through a greedy algorithm; and selecting the cluster head nearest to the mobile sink node to send data to the mobile sink node. The energy hole phenomenon and uneven distribution of cluster heads in the prior art are overcome. The network traffic load is reduced. The life cycle of the wireless sensor network is extended greatly.

Sink stations for galleys of aircraft and other vehicles, methods of operating such sink stations, and aircraft equipped with galleys having such sink stations. A sink station includes a sink cover, which may fully or partially cover a sink and extend the countertop space over the sink cavity. When covering the sink, the sink cover may support a set weight corresponding to objects typically used in galleys, such as pots, cups, and the like. The sink cover allows for liquid to pass into the sink cavity even when the sink cover is used to cover the sink thereby reduce spill clean-ups. The sink cover is movable and may partially or completely expose the sink cavity or keep it completely covered. For example, the sink cover may be folded and / or rolled away and stored at the sink station for periodic use.

The invention discloses a ground-air interaction multi-sensor fusion system for monitoring growth conditions of plants, comprising an UAV (Unmanned Aerial Vehicle), ground sensors and an upper computer; wherein the UAV is used as a mobile sink node, the ground sensors form a data acquisition network and are connected through a ZigBee network to perform communication, the upper computer is used forprocessing acquired data; the UAV is loaded with a sink node to achieve the mobile sink node, and has functions of infrared thermal imaging and camera shooting; the ground sensors comprise a temperature and humidity sensor, a carbon dioxide sensor and a light sensor, the ground sensors have a ZigBee communication protocol suitable for monitoring of the UAV; and the upper computer comprises a control room and a communication room, and is used for transmitting data to a customized APP through a web protocol. Through adoption of the ground-air interaction multi-sensor fusion system of the invention, the UAV is used as the mobile sink node to receive data of the ground sensors, thus ground-air interaction multi-sensor fusion is achieved, and IoT (Internet of Things) is well applied to agriculture.

The embodiment of the invention provides a data forwarding method and a data forwarding apparatus based on clusters. The method comprises the following steps: dividing a wireless sensor network into aplurality of sub areas, wherein the sub areas comprise mobile sink nodes and a plurality of cluster head nodes; separately calculating the access paths of a plurality of mobile sink nodes to traversethe plurality of cluster head nodes in the sub areas; judging whether the access paths in the sub areas are balanced; if not, adjusting the areas of the sub areas, and executing the step of calculating the access paths; if so, determining a current distribution result of the sub areas as the partition result of the wireless sensor network; based on the determined partition result, separately calculating the access paths of the plurality of mobile sink nodes to traverse the cluster head nodes in the sub areas; and separately dispatching the plurality of mobile sink nodes to receive to-be-forwarded data according to the calculated access paths. By adoption of the data forwarding method in the embodiment of the invention, the technical problem of how to improve the instantaneity of the wireless sensor network is solved.

The invention relates to a mobile sink data acquisition method based on a binary tree inquiry in a wireless sensor network. The method comprises the steps of building a virtual regional binary tree system in a circular deployment area; calculating the serial number of the belonged area of nodes in a virtual regional binary tree according to geographic positions and building a neighbour node information sheet; moving a sink along the outmost periphery of the circular area, staying on each area of an outmost layer in the virtual regional binary tree system, broadcasting an Hello package to the same area and all father areas in a multi-hop way, notifying the position information of the sink, and naming the area for broadcasting the position information as a label area; when the data of the nodes is needed to be uploaded to the sink, inquiring the position information of the sink in the label area, and then transmitting data to the sink according to the position information of the sink stored in the label area. The energy consumed by broadcasting the position information in the whole network in the process of moving the sink can be saved, the standing time in the different areas is decided by the data volume generated in the network and the node positions for generating data packages, and the energy consumption of the nodes can be further balanced.

The invention discloses a collection method of mobile data in a wireless sensor network. The collection method of the mobile data in the wireless sensor network comprises A. based on accessibility between nodes, obtaining a covered node-set group of the wireless sensor network; B. according to the covered node-set group, utilizing a Greedy String Tiling (GST) algorithm to obtain a GST with the minimum length and supposing the GST with the minimum length to be T; C. based on T, starting from a mobile sink and obtaining an Euler diagram G<'>; D. taking the mobile sink as a starting point, utilizing a depth-first search algorithm to obtain an Euler path G<'> of the Euler diagram G<'>; and E. based on the Euler path G<'>, starting from a mobile sink v0, obtaining a Hamilton loop P, and regarding the Hamilton loop P as a mobile data collection path of the mobile sink v0. The collection method of the mobile data in the wireless sensor network can reduce energy consumption of the nodes in the process of mobile data collecting, improves reliability of data package transmission and practicability of the wireless sensor network.

A wireless sensor network having mobile sensors (64, 65) is provided with a mobile sink (70). To re-position the sink, candidate sink positions are found using information from the sensors. The candidate sink locations are then assessed to give a measure of their suitability to act as the new permanent position. To do this, the sink moves to each of the candidate positions in turn and obtains data and / or signals from the sensors (64, 65) within range to estimate a total throughput expected if the sink is located at that position. The sink then transfers to the most suitable candidate position permanently, until the dynamic repositioning process is triggered again. In this way it is possible to achieve a better performance than if only the center of gravity of the sink range is taken into account to position the sink. In the second embodiment, sensors are allowed to have their say in future positioning of the sink; this involves providing a capability for the sensor that makes it possible to consider both distance from the sink and the remaining battery power to come up with the best desired maximum information rate. In effect, the sensors and sink make a collective decision on the future location of the sink.

The invention discloses a tree-form wireless sensing net data collection method based on a mobile node. The method comprises the following steps of (10) network initialization: dividing a wireless sensing network into virtual grids of the same size, and broadcasting an initial position by a mobile sink node; (20) cluster head selection: taking each virtual grid as a competition unit, and performing cluster head selection in each competition unit; (30) node entering the cluster: a non-cluster-head node selecting a nearby cluster head node as a next hop node; (40) in-cluster data transmission: sending collected sensing data to the cluster head node by an in-cluster node; and (50) mobile node data collection: each cluster head node finding a close cluster head as a next hop node, subjecting sensing information of all nodes in the cluster to data fusion, and sending the fused sensing information to the next hop node until to the mobile sink node.

The invention discloses a multi-mobile sink access control method in a wireless sensor network. The control method can provide a single service quality for all mobile sinks; each sink node monitors hello packets broadcasted by other sinks around, periodically calculates the number of the mobile sink nodes for broadcasting the hello messages in the communication range Rs of each sink node and determines whether the packet is controlled in the broadcasting of the next period per se or the probability for keeping silence according to the number or dynamically adjusts the hello broadcast frequency per se; and in addition, the control method can provide different service qualities for the different mobile sinks. The control method can flexibly meet the requirements of different service qualities, reduce the number of the packets under control while guaranteeing the data acquisition, effectively reduce the network expenditure and have the characteristics of simpleness and easy realization in the actual wireless sensor network.

The invention discloses a communication establishing method, a communication establishing system and a communication establishing device for a wireless sensor network, which are used for solving the problem of the consumption of a large amount of electricity caused by periodic broadcast of access signals by mobile terminals serving as mobile sink nodes. The method comprises the following steps of: when data to be transmitted is determined by network side equipment, broadcasting wakeup signals for the mobile sink nodes; receiving access signals broadcast by at least one mobile sink node after the wakeup signals are received; selecting identification information which corresponds to a mobile sink node for receiving the data from identification information of the mobile sink nodes included in each received access signal respectively; and transmitting the data to be transmitted to the mobile sink node of which an identification information mark is selected. The mobile sink nodes only broadcast the access signals after receiving the wakeup signals, so that the consumption of a large amount of electricity by the mobile terminals serving as the mobile sink nodes is avoided, the standby time of the mobile terminals is prolonged, and the service life of the mobile terminals is prolonged.