Opportunistic routing technique for minimized energy consumption for relay node selection in wireless sensor networks

K. S. Kumar, P. Prasad, Shivashankar, S. S. Kumar, R. Gatti
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引用次数: 30

Abstract

Dynamic Energy investment funds streamlining gets to be one of the significant worries in the remote sensor system (WSN) directing convention outline, because of the way that most sensor hubs are furnished with the constrained non rechargeable battery power. In this paper, we concentrate on minimizing vitality utilization and amplifying system lifetime for information transfer in one-dimensional (1-D) line system. Taking after the standard of entrepreneurial directing hypothesis, multi-bounce hand-off choice to streamline the system vitality productivity is made in light of the distinctions among sensor hubs, as far as both their separation to sink and the lingering vitality of each other and in view of transfer hub separation. In particular, Energy Balancing Multi-bounce steering in view of Swarm knowledge (EBMRS) calculation is intended to guarantee least power cost amid information transfer and ensure the hubs with moderately low leftover vitality. By using above technique it is also possible to increase network lifetime by selecting appropriate routing scheme which results in, minimized energy consumption and increased network lifetime. Our research work proves better results than other protocols.
无线传感器网络中继节点选择能量消耗最小的机会路由技术
由于大多数传感器集线器配置的是有限的不可充电电池,动态能源投资基金的流线型成为了远程传感器系统(WSN)指导公约大纲中的一个重要问题。在本文中,我们集中在最小化活力利用和扩大系统寿命的信息传输在一维(1-D)线路系统。根据创业导向假设的标准,考虑到传感器枢纽之间的分离下沉和彼此之间的持久活力的区别,考虑到转移枢纽的分离,提出了简化系统活力生产率的多跳次交接选择。其中,基于群知识(EBMRS)计算的能量平衡多弹跳转向(Energy Balancing Multi-bounce steering, EBMRS)旨在保证信息传递过程中的能量成本最小,保证集线器的剩余活力适度低。通过使用上述技术,还可以通过选择适当的路由方案来增加网络生命周期,从而最小化能量消耗并增加网络生命周期。我们的研究工作证明了比其他方案更好的结果。
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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