Towards Energy Neutrality in Energy Harvesting Wireless Sensor Networks: A Case for Distributed Compressive Sensing?

Autor:	Chen, Wei, Andreopoulos, Yiannis, Wassell, Ian J., Rodrigues, Miguel R. D.
Rok vydání:	2013
Předmět:	Computer Science - Information Theory Computer Science - Networking and Internet Architecture
Druh dokumentu:	Working Paper
Popis:	This paper advocates the use of the emerging distributed compressive sensing (DCS) paradigm in order to deploy energy harvesting (EH) wireless sensor networks (WSN) with practical network lifetime and data gathering rates that are substantially higher than the state-of-the-art. In particular, we argue that there are two fundamental mechanisms in an EH WSN: i) the energy diversity associated with the EH process that entails that the harvested energy can vary from sensor node to sensor node, and ii) the sensing diversity associated with the DCS process that entails that the energy consumption can also vary across the sensor nodes without compromising data recovery. We also argue that such mechanisms offer the means to match closely the energy demand to the energy supply in order to unlock the possibility for energy-neutral WSNs that leverage EH capability. A number of analytic and simulation results are presented in order to illustrate the potential of the approach. Comment: 6 pages. This work will be presented at the 2013 IEEE Global Communications Conference (GLOBECOM), Atlanta, US, December 2013
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1310.4761 Zobrazit plný text záznamu View this record from Arxiv