A simple asymptotically optimal energy allocation and routing scheme in rechargeable sensor networks

Shengbo Chen, Prasun Sinha, Ness B. Shroff, Changhee Joo

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

28 Citations (Scopus)

Abstract

In this paper, we investigate the utility maximization problem for a sensor network with energy replenishment. Each sensor node consumes energy in its battery to generate and deliver data to its destination via multi-hop communications. Although the battery can be replenished from renewable energy sources, the energy allocation should be carefully designed in order to maximize system performance, especially when the replenishment profile is unknown in advance. In this paper, we address the joint problem of energy allocation and routing to maximize the total system utility, without prior knowledge of the replenishment profile. We first characterize optimal throughput of a single node under general replenishment profile, and extend our idea to the multi-hop network case. After characterizing the optimal network utility with an upper bound, we develop a low-complexity online solution that achieves asymptotic optimality. Focusing on long-term system performance, we can greatly simplify computational complexity while maintaining high performance. We also show that our solution can be approximated by a distributed algorithm using standard optimization techniques. Through simulations with replenishment profile traces for solar and wind energy, we numerically evaluate our solution, which outperforms a state-of-the-art scheme that is developed based on the Lyapunov optimization technique.

Original languageEnglish
Title of host publication2012 Proceedings IEEE INFOCOM, INFOCOM 2012
Pages379-387
Number of pages9
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventIEEE Conference on Computer Communications, INFOCOM 2012 - Orlando, FL, United States
Duration: 2012 Mar 252012 Mar 30

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

OtherIEEE Conference on Computer Communications, INFOCOM 2012
Country/TerritoryUnited States
CityOrlando, FL
Period12/3/2512/3/30

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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