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Research on 3D Wireless Sensor Networks ISC-EAR Routing Algorithm

机译:3D无线传感器网络ISC-EAR路由算法研究

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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.
机译:为了提高3D无线传感器网络的性能,提出了一种迭代分割聚类能量角路由(ISC-EAR)算法。理论上讨论了设计理念,并且设计理念如下:在链路带宽和其他满足用户QoS要求的基础上,节点感知半径或通信半径内的所有节点被视为下一跳候选。根据节点的总能量消耗(包括发送和接收能耗)选择下一跳节点,并尝试确保最远的传输距离消耗最少的能量。选择当前节点,目的节点和下一跳节点,当前顶点的带有当前节点的空间向量具有最小的角度,即最接近目标节点的候选节点作为下一跳节点。为了验证算法的性能,请使用C / C ++进行编程仿真。通过三种不同的矿拓扑结构,平均拓扑和随机拓扑结构,使用四个指标进行性能评估:生存节点,网络寿命,网络能量消耗和节点平均能量的数量。通过仿真计算,与基准路由算法IGReeDy相比,ISC-EAR路由算法具有良好的技术性能优势,这可以增加节点的生存时间,降低网络能耗,并延长网络的生存时间。它具有更好的进步。

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