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Performance analysis of approaches for coverage issues in WSN

机译:WSN覆盖问题方法的性能分析

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Wireless Sensor Networks is an emerging technology in the field of communication. Wireless sensor nodes provide real observed data from the different environmental conditions and provide data for monitoring and controlling the systems. WSNs are suitable for various applications such as intelligent surveillances, border security and disaster management by gathering remote data about surroundings either periodically or on demand. The major considerations of WSN are resource scarcity in terms of bandwidth and energy, coverage and route optimality. In WSNs distinct Localization Approaches, Clustering Techniques, Routing protocols are used to minimize the energy requirement, improve the communication effectiveness, and maximize the throughput and efficiency of the network. The significant improvement in the network lifetime is also achieved by using various approaches such as swarm intelligence and bio inspired techniques. In this paper we have discussed the various clustering techniques proposed by the researchers and provide a comparative analysis of them. To develop a novel method to solve the multi objective problem of energy conservation, node localization, optimal coverage and best route identification is our future work.
机译:无线传感器网络是通信领域中的新兴技术。无线传感器节点提供了来自不同环境条件的实际观测数据,并提供了用于监视和控制系统的数据。通过定期或按需收集有关周围环境的远程数据,WSN适用于各种应用,例如智能监视,边界安全和灾难管理。 WSN的主要考虑因素是带宽和能量,覆盖范围和路由最优性方面的资源稀缺性。在WSN中,使用独特的本地化方法,群集技术,路由协议来最小化能量需求,提高通信效率并最大化网络的吞吐量和效率。通过使用各种方法,例如群智能和生物启发技术,也可以实现网络寿命的显着改善。在本文中,我们讨论了研究人员提出的各种聚类技术,并对它们进行了比较分析。开发解决能源节约,节点定位,最优覆盖范围和最佳路线识别等多目标问题的新方法是我们未来的工作。

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