Dynamic Adjustment of Transmission Power of Mobile Ad-Hoc Wireless Sensor Networks

A. Hoeller, Peterson Oliveira, A. A. Fröhlich
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引用次数: 2

Abstract

A Wireless Sensor Network (WSN) is composed by many tiny embedded systems with sensing, processing and communication capabilities. These sensors use limited power sources, such as batteries, making energy a key resource that needs management. One of the main contributors to energy consumption in WSN nodes is data transmission through a radio device, and the parameter that most influences energy consumption in radio devices is the transmission power. In this work, we explore the Ant-Colony Optimization (ACO) mechanism of the Ant-based Dynamic Hop Optimization Protocol (ADHOP) routing algorithm to minimize transmission power of the links in a route without compromising connectivity. The proposed mechanism is evaluated through simulation using the OMNeT++ simulator with the INETMANET framework for mobile IEEE 802.15.4 networks. The results confirm the initial assumption that it is possible to lower energy consumption with little impact on data delivery rate.
移动自组织无线传感器网络传输功率的动态调整
无线传感器网络是由许多具有传感、处理和通信能力的微型嵌入式系统组成的。这些传感器使用有限的电源,如电池,使能源成为需要管理的关键资源。无线传感器网络节点能耗的主要来源之一是无线设备的数据传输,而无线设备中影响能耗最大的参数是传输功率。在这项工作中,我们探索了基于蚁群的动态跳优化协议(ADHOP)路由算法的蚁群优化(ACO)机制,以最小化路由中链路的传输功率而不影响连通性。利用omnet++模拟器和INETMANET框架对移动IEEE 802.15.4网络进行了仿真,对所提出的机制进行了评估。结果证实了最初的假设,即有可能在对数据传输速率影响很小的情况下降低能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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