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
In this paper, we present the design and realization of energy-efficient sensor datagathering schemes used in wireless sensor networks (WSNs) for monitoring engineering systems.A key issue in the design of WSNs is to establish a reliable assessment scheme by combining data acquired from each individual sensor into a single wireless sensor network.However, as the size of the network rapidly grows, aggregating information made by all the sensors becomes computationally intractable, causing increased energy consumption.Hence, it becomes critical that the WSN be sectioned to allow for computational efficiency while reducing the overall data communication requirements for the purpose of energy saving.Different data-gathering schemes have been investigated in this study for energy-efficient sensing.In order to automatically perform effective data gathering in such a network, the hardware and software of the sensor node are designed to meet the requirement of optimizing energy efficiency.It was found that the overall energy cost of the system is considerably less for a sectioned WSN than the conventional centralized network structure.
Abdullah Said AlkalbaniTeddy Mantoro