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首页> 外文期刊>International Journal of Distributed Sensor Networks >Design of Randomly Deployed Heterogeneous Wireless Sensor Networks by Algorithms Based on Swarm Intelligence
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Design of Randomly Deployed Heterogeneous Wireless Sensor Networks by Algorithms Based on Swarm Intelligence

机译：基于群体智能算法的随机部署异构无线传感器网络设计

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This paper reports the design of a randomly deployed heterogeneous wireless sensor network (HWSN) with two types of nodes: a powerful node and an ordinary node. Powerful nodes, such as Cluster Heads (CHs), communicate directly to the data sink of the network, and ordinary nodes sense the desired information and transmit the processed data to powerful nodes. The heterogeneity of HWSNs improves the networks lifetime and coverage. This paper focuses on the design of a random network among HWSNs. In the design of a random HWSN, this paper uses algorithms based on the binary-valued versions of swarm intelligence, such as Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Ant Colony Optimization (ACO). The design is then considered to be 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 results show the performance of each algorithm for solving the defined optimization problem.
机译：本文报告了一种随机部署的异构无线传感器网络（HWSN）的设计，该网络具有两种类型的节点：功能强大的节点和普通节点。功能强大的节点（例如簇头（CH））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的异构性提高了网络寿命和覆盖范围。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，本文使用基于群体智能二进制值版本的算法，例如粒子群优化（PSO），人工蜂群（ABC）和蚁群优化（ACO）。然后，该设计被认为是一个优化问题，即在保证给定时间段内所需覆盖范围的同时，将合并几个功能强大的节点和普通节点以最小化网络成本。仿真结果显示了每种算法解决定义的优化问题的性能。

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