Conference proceeding
Stochastic Analysis of Energy Consumption in Wireless Sensor Networks
2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp.1-9
06/2010
DOI: 10.1109/SECON.2010.5508259
Abstract
Limited energy resources in wireless sensor networks (WSNs) call for a comprehensive cross-layer analysis of energy consumption in a multi-hop network. In this paper, we provide a stochastic analysis of the energy consumption in a random network environment. Accordingly, a comprehensive cross-layer analysis framework, which employs a stochastic queueing model in realistic channel environments, is developed. This framework accurately predicts the distribution of energy consumption for nodes in WSNs during a given time period. We show that when the time duration is long, the energy consumption asymptotically approaches a Normal distribution. Using the distribution of energy consumption, the distribution of node lifetime is also investigated. With the help of this probabilistic model, a case study with an anycast protocol is conducted to show how the developed framework can analytically predict the distribution of energy consumption and lifetime. Comprehensive simulations and testbed experiments are provided to validate the developed model. The cross-layer framework is also used to identify relationships between the distribution of energy consumption and network parameters, such as network density, duty cycle, and traffic rate. To the best of our knowledge, this is the first work to investigate probabilistic distribution of energy consumption in WSNs.
Details
- Title: Subtitle
- Stochastic Analysis of Energy Consumption in Wireless Sensor Networks
- Creators
- Yunbo Wang - University of Nebraska–LincolnMehmet C Vuran - University of Nebraska–LincolnSteve Goddard - University of Nebraska–Lincoln
- Resource Type
- Conference proceeding
- Publication Details
- 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp.1-9
- Publisher
- IEEE
- DOI
- 10.1109/SECON.2010.5508259
- ISSN
- 2155-5486
- Language
- English
- Date published
- 06/2010
- Academic Unit
- Computer Science
- Record Identifier
- 9984259431702771
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