基于最佳距離估計(jì)和粒子群優(yōu)化的無線傳感器網(wǎng)絡(luò)節(jié)點(diǎn)定位算法
[Abstract]:Node location algorithm in wireless sensor networks is the key basic technology in its application. Wireless sensor networks (WSN) are characterized by large scale random distribution of nodes, limited resources and complex application environments, which bring challenges to node localization algorithms with compatible performance and power consumption. Based on the non-ranging localization technology, this paper studies the node localization algorithm of 2D/3D wireless sensor networks with holes in order to extend the application method of wireless sensor networks. The main work of this paper is as follows: (1) the research status of wireless sensor network localization algorithms and routing protocols is introduced, and the existing node location methods are classified. This paper analyzes and discusses the practical application limitation of typical location algorithm based on non-ranging nodes to 2D/3D sensor networks with holes. (2) A coverage priority and energy balance opportunistic flooding based on link correlation is proposed. Routing algorithm (CCEP). Based on the relative coverage of the nodes and the residual energy as the order of allocating the forwarding nodes, the ACK of the forwarding subset is aggregated according to the link correlation. By increasing the forwarding nodes one by one, the expected reliability of the forwarding node information transmission is estimated, and the real-time reliability is obtained by statistical ACK. The minimal subset of forwarding nodes and the number of retransmissions are determined by dynamic comparison and evaluation. Simulation results show that the proposed algorithm can effectively reduce the network communication load, reduce the energy consumption of the nodes and promote the balance of the residual energy of the network nodes at the same time that the reliability of the target is satisfied. Furthermore, the network life cycle is prolonged. (3) an optimal distance estimation algorithm (ODESPC).) based on the shortest path confidence is proposed. By identifying the special nodes in the subtree of the shortest path tree generated by the flooding routing algorithm, the network connectivity and special nodes are used to calculate the confidence of the shortest path, and the accuracy of the distance estimation between nodes is improved. The simulation results show that the algorithm can estimate the location of network nodes with holes. The network node location coverage is improved. (4) A non-ranging localization algorithm (PSO-LAODE) based on optimal range estimation and particle swarm optimization is proposed. On the basis of ODESPC algorithm, the average hopping distance between nodes is modified based on weighted average method, and the results of coordinate calculation are optimized based on improved particle swarm optimization algorithm to locate unknown nodes. The effect of the number of beacon nodes on the localization accuracy of the algorithm is analyzed by simulation, and the PSO-LAODE algorithm is compared with the typical DV-Hop algorithm. The results show that the PSO-LAODE algorithm can achieve high localization coverage and accuracy when there are fewer beacon nodes. It can be used in large scale 2D/3D wireless sensor network node localization applications with holes.
【學(xué)位授予單位】:合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP212.9;TN929.5
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