Distributed method for solving perception situation uniformity of heterogeneous network

Abstract

The invention provides a distributed method for solving the perception situation uniformity of a heterogeneous network, and belongs to the technical field of sensor networks. The method comprises thefollowing steps: firstly, constructing a network scene and a research model, defining the perception rate, the average moving distance, the bidirectional communication distance, the bidirectional communication neighbors, the highest invalid redundancy and the local intensity of the network model, and evaluating the local intensity; then optimizing an algorithm scheduling strategy, and carrying out'double excitation' resultant force and step length splitting; and finally, updating a node position. According to the method, the perception rate of the heterogeneous network can be efficiently improved and the energy consumption can be saved under a stable short moving distance, and the performance of the method in two aspects of network topology reconstruction and connectivity performance is superior to that of the same kind of algorithms regardless of a homogeneous network or a heterogeneous network.

Description

technical field [0001] The invention relates to a sensor network sensing situation performance optimization technology, which belongs to the technical field of sensor networks. Background technique [0002] WSN (Wireless Sensor Networks) are usually randomly scattered in the monitoring area. While the random method improves the application flexibility, it also leaves some technical problems: for example, the area to be monitored is easy to leave holes, which cannot meet the perception situation of the monitoring area. Requirements; The performance difference or uneven load of the nodes themselves will also reduce the networking capability and cause asymmetry in data communication. Therefore, moving some nodes to appropriate locations on demand has become an effective localized compensation strategy without the intervention of additional resources in addition to high-cost additional distribution. [0003] In a heterogeneous network, the traditional virtual force-related node...

AI Technical Summary

Problems solved by technology

[0002] WSN (Wireless Sensor Networks) are usually randomly scattered in the monitoring area. While the random method improves the application flexibility, it also leaves some technical problems: for example, the area to be monitored is easy to leave holes, which cannot meet the perception situation of the monitoring area. Requirements; the performance difference or uneven load of the nodes themselves will also reduce the networking capability and cause the asymmetry of data communication

[0003] In a heterogeneous network, the traditional virtual force-related node movement strategy ignores the two-way "communication break" problem caused by heterogeneous differences, and only conservatively solves it based on the ideal assumption of full-scenario communication capabilities, which will lead to weak connectivity after node movement , Poor networking ability

At the same time, the intelligent algorithm with the goal of optimization has high precision, but the central method is also accompanied by high computational complexity, and less distributed algorithms can solve this problem

[0004] The technical problems existing in the existing technology are: random deployment of heterogeneous sensor networks can easily lead to uneven distribution of nodes in the detection area and difficulty in two-way communication between nodes

The traditional virtual force algorithm is easy to lead to local optimum and slow spread of nodes in the early stage

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