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Design of efficient Heterogeneous Wireless Sensor Networks optimized by discrete Particle Swarm Optimization

机译:离散粒子群算法优化的高效异构无线传感器网络设计

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This paper designs Heterogeneous Wireless Sensor Network (HWSN) with two types of nodes: powerful node and ordinary node. Powerful nodes as Cluster Heads (CHs) communicate directly to the data sink of network, and ordinary nodes sense the desired information and transmit the processed data to powerful nodes. HWSNs have the merits that its heterogeneity improves the network's lifetime and coverage. This paper focuses on the design of a random network among HWSNs. In the design of a random HWSN, this paper solves it with Particle Swarm Optimization (PSO) of discrete binary version, i.e. Discrete PSO (DPSO), as an optimization problem of how many powerful and ordinary nodes will combine to minimize the network cost, while guaranteeing a desired coverage during a given period. Simulation result shows the performance of DPSO in solving the defined optimization problem.
机译:本文设计了具有两种类型的节点的异构无线传感器网络(HWSN):强大节点和普通节点。作为簇头(CH)的功能强大的节点直接与网络的数据接收器通信,普通节点感知所需的信息并将处理后的数据传输到功能强大的节点。 HWSN的优点是异构性可提高网络的寿命和覆盖范围。本文着重研究HWSN之间的随机网络的设计。在随机HWSN的设计中,本文通过离散二进制版本的粒子群优化(PSO)(即离散PSO(DPSO))解决了这一问题,作为一个优化问题,即有多少强大的节点与普通节点相结合以最小化网络成本,同时保证在给定期间内所需的覆盖范围。仿真结果显示了DPSO在解决定义的优化问题方面的性能。

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