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Energy Aware Routing with Computational Offloading for Wireless Sensor\n Networks

2020/11/30 by Adam Barker, Barker, Adam, Martin Swany +1
Computer Science · Engineering · #Energy Efficient Wireless Sensor Networks #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI)

paper · pdf · doi:10.48550/arxiv.2011.14795

openalex publication_date 2020/11/30 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28

Abstract

Wireless sensor networks (WSN) are characterized by a network of small,\nbattery powered devices, operating remotely with no pre-existing\ninfrastructure. The unique structure of WSN allow for novel approaches to data\nreduction and energy preservation. This paper presents a modification to the\nexisting Q-routing protocol by providing an alternate action of performing\nsensor data reduction in place thereby reducing energy consumption, bandwidth\nusage, and message transmission time. The algorithm is further modified to\ninclude an energy factor which increases the cost of forwarding as energy\nreserves deplete. This encourages the network to conserve energy in favor of\nnetwork preservation when energy reserves are low. Our experimental results\nshow that this approach can, in periods of high network traffic, simultaneously\nreduce bandwidth, conserve energy, and maintain low message transition times.\n

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