2017/12/12 by Muzammil Behzad, Manal Abdullah, Behzad, Muzammil +7 · 1 citation
Computer Science · Engineering · #Energy Efficient Wireless Sensor Networks #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Networking and Internet Architecture (cs.NI) #cs.NI
paper · pdf · doi:10.48550/arxiv.1712.04259
Submitted to the 32nd IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA-2018)
arxiv created 2017/12/12 · openalex publication_date 2017/12/12 · arxiv updated 2017/12/13 · openalex created_date 2017/12/22 · openalex updated_date 2026/07/28
In this paper, we combat the problem of performance optimization in wireless sensor networks. Specifically, a novel framework is proposed to handle two major research issues. Firstly, we optimize the utilization of resources available to various nodes at hand. This is achieved via proposed optimal network clustering enriched with layer-adaptive 3-tier communication mechanism to diminish energy holes. We also introduce a mathematical coverage model that helps us minimize the number of coverage holes. Secondly, we present a novel approach to recover the corrupted version of the data received over noisy wireless channels. A robust sparse-domain based recovery method equipped with specially developed averaging filter is used to take care of the unwanted noisy components added to the data samples. Our proposed framework provides a handy routing protocol that enjoys improved computation complexity and elongated network lifetime as demonstrated with the help of extensive simulation results.