A Wireless Sensor Network Model Using Douglas-Peucker Algorithm in The IoT Environment

Se-Jung Lim
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Abstract

Wireless Sensor Networks (WSNs) which are the major component in the Internet of Things (IoT) mainly use interconnected intelligent wireless sensors. The operation of wireless sensors is typically powered by batteries and recharging batteries is difficult due to the rugged environments where they operate. Therefore, the study for prolonging the network lifetime is one of the most important challenges in WSNs. In this paper, we propose a Wireless Sensor Network Model (WSNM) using Douglas-Peucker algorithm in the IoT environment to prolong the network lifetime. The performance of WSNM is compared with PEGASIS and Enhanced-PEGASIS. In the simulation results, the performance of WSNM outperforms PEGASIS and Enhanced-PEGASIS. 1
物联网环境下使用Douglas-Peucker算法的无线传感器网络模型
无线传感器网络(WSNs)是物联网(IoT)的主要组成部分,主要使用互联的智能无线传感器。无线传感器的工作通常由电池供电,由于它们工作的恶劣环境,给电池充电很困难。因此,延长网络生存期的研究是无线传感器网络面临的重要挑战之一。本文提出了一种物联网环境下使用Douglas-Peucker算法的无线传感器网络模型(WSNM),以延长网络寿命。比较了WSNM与PEGASIS和Enhanced-PEGASIS的性能。在仿真结果中,WSNM的性能优于PEGASIS和Enhanced-PEGASIS。1
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