文章基本信息

标题：Investigations on Energy Efficiency for WSN Routing Protocols for Realistic Radio Models
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作者：Deepti Gupta ; Ajay K Sharma
期刊名称：International Journal of Future Generation Communication and Networking
印刷版ISSN：2233-7857
出版年度：2011
卷号：4
期号：3
出版社：SERSC
摘要：In this paper, we have extended the Prowler simulator by integrating different realistic radio models into it and comparatively analyzed the effect of the channel behavior on the network layer specifically the WSN routing protocols. The simulation results indicate that the CF protocol consumes the highest energy amongst all the protocols in case of RMGMF while RTS protocol has the highest energy efficiency in case of NRM. Thus it has been concluded that the RTS protocol can be applied to achieve energy efficient routing in wireless sensor networks.
关键词：constraint-based routing; meta-strategies; real-time reinforcement learning; constrained flooding; real-time search; adaptive tree; wireless sensor networks