Improving energy efficiency is the most important challenge in wireless sensor networks. Because sensing information is correlated in many sensor network applications, some previous works have proposed ideas that reduce the energy consumption of the network by exploiting the spatial correlation between sensed information. In this paper, we propose a distributed data compression framework that exploits the broadcasting characteristic of the wireless medium to improve energy efficiency. We analyze the performance of the proposed framework numerically and compare it with the performance of previous works using simulation. The proposed scheme performs better when the sensing information is correlated.
Ruqiang YanZhaoyan FanRobert X. GaoHanghang SunC. -Y ChongS KumarG PottieW KaiserT BeckerM KlugeJ SchalkK TipladyC PagetU HilleringmannT OtterpohlA TiwariP BallalF LevisF SalvadoriM De CamposP SausenR De CamargoC GehrkeC RechM SpohnA OliveiraD GalloC LandiN PasquinoR AmirtharajahA ChandrakasanC TheurerL ZhangD KazmerR GaoN ElvinN LajnefA ElvinC AlippiG AnastasiM Di FrancescoM RoveriA WangA ChandrakasanR GaoZ FanJ SanchezP RuizJ LiuI StojmenovicC AlippiR CamplaniM RoveriP MerlinoA AbramoC. -C ShenR KupershtokS AdlS BhattacharyyaN GoldsmanM PeckerarS LindseyC RaghavendraK SivalingamM ChengL YinC WangR GaoR YanR GaoRf Monolithics
Shiow‐Fen HwangKun‐Hsien LuHsiao-Nung ChangChyi‐Ren Dow
Kazuhiko KinoshitaTakahisa OkazakiHideki TodeKoso Murakami