An energy-aware data-centric generic utility based approach in wireless sensor networks

Wei Peng Chen, Lui Sha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Distinct from wireless ad hoc networks, wireless sensor networks are data-centric, application-oriented, collaborative, and energy-constrained in nature. In this paper, formulate the problem of data transport in sensor networks as an optimization problem whose objective function is to maximize the amount of information (utility) collected at sinks (subscribers), subject to the flow, energy and channel bandwidth constraints. Also, based on a Markov model extended from [3], we derive the link delay and the node capacity in both the single and multi-hop environments, and figure them in the problem formulation. We study three special cases under the problem formulation. In particular, we consider the energy-aware flow control problem, derive an energy aware flow control solution, and investigate via ns-2 simulation its performance. The simulation results show that the proposed energy-aware flow control solution can achieve high utility and low delay without congesting the network.

Original languageEnglish (US)
Title of host publicationThird International Symposium on Information Processing in Sensor Networks, IPSN 2004
Pages215-224
Number of pages10
StatePublished - Jul 13 2004
EventThird International Symposium on Information Processing in Sensor Networks, IPSN 2004 - Berkeley, CA., United States
Duration: Apr 26 2004Apr 27 2004

Publication series

NameThird International Symposium on Information Processing in Sensor Networks, IPSN 2004

Other

OtherThird International Symposium on Information Processing in Sensor Networks, IPSN 2004
CountryUnited States
CityBerkeley, CA.
Period4/26/044/27/04

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Keywords

  • Utility-based
  • Wireless sensor networks

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Chen, W. P., & Sha, L. (2004). An energy-aware data-centric generic utility based approach in wireless sensor networks. In Third International Symposium on Information Processing in Sensor Networks, IPSN 2004 (pp. 215-224). (Third International Symposium on Information Processing in Sensor Networks, IPSN 2004).