Abstract
In order to improve the performance of 3D wireless sensor networks, an Iterative Split Clustering Energy Angle Routing (ISC-EAR) Algorithm is proposed. The design idea is discussed theoretically, and the design idea is as follows: on the basis of the link bandwidth and other meeting user QoS requirements, all nodes within the node perception radius or communication radius are regarded as next hop candidates. Select the next hop node according to the total energy consumption of the node (including sending and receiving energy consumption), and try to ensure that the farthest transmission distance consumes the least energy. Select the current node, the destination node and the next hop node, the space vector with the current node as the vertex has the smallest angle, that is, the candidate node closest to the destination node as the next hop node. In order to verify the performance of the algorithm, use C/C++ for programming simulation. Through three different topological structures of mine topology, average topology and random topology, the performance evaluation is carried out using four indicators: the number of alive nodes, network lifetime, network energy consumption and average energy of node. Through simulation calculation, the ISC-EAR routing algorithm has good technical performance advantages compared with the benchmark routing algorithm IGreedy, which can increase the survival time of nodes, reduce network energy consumption, and prolong the survival time of the network. It has better advancement.
Highlights
In recent years, 3D wireless sensor network technology in underground sensor network [1], underwater sensor network [2], space sensor network [3,4], smart home [5] and the field of structural health monitoring [6] etc has been widely applied
This paper proposes a Iterative Split Clustering Energy Angle Routing (ISC-EAR) algorithm, which reduction of energy consumed by the whole network, and increase of the network lifetime
Based on 3D wireless sensor network routing design and energy saving goal, the basic idea of the algorithm is first radius from the node sensation all neighbor nodes are selected to satisfy the user bandwidth demand candidate set of nodes, according to the node and the distance to the neighbor node sends the ratio of the energy consumption, at the same time, considering the current node and destination node and neighbor node space angle of choice of the next-hop node, and set different weight of these two factors, to ensure that the selected node sends furthest distance and minimum energy consumption, deviating from the destination node angle factors to prevent the node too far
Summary
3D wireless sensor network technology in underground sensor network [1], underwater sensor network [2], space sensor network [3,4], smart home [5] and the field of structural health monitoring [6] etc has been widely applied. This paper mainly research on 3D wireless sensor network routing algorithm. The routing algorithm in 3D wireless sensor network (3D WSN), the main research focus is the routing algorithm based on clustering. Zhanguo Li and Donghong Shan: Research on 3D Wireless Sensor Networks ISC-EAR Routing Algorithm distance minimum angle of the conviction of neighbor nodes within the ellipse. An algorithm is proposed to distribute the optimum number of sensor nodes in corona-based networks. Reference [18] is proposed a cooperative group-based network reduces the number of the messages transmitted inside the network, which reduction of energy consumed by the whole network, and increase of the network lifetime. This paper proposes a Iterative Split Clustering Energy Angle Routing (ISC-EAR) algorithm, which reduction of energy consumed by the whole network, and increase of the network lifetime. Using the simulation calculation under different topology, ISC-EAR routing algorithm with the international benchmark IGreedy [19] compared various technical indicators have very good performance, has good advancement and research value
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