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

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

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)


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 multihop 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 multihop 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. In addition, we show that the required battery size is $O(\ln(1/\xi))$ to constrain the performance of our scheme within $\xi$-neighborhood of the optimum. 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
Article number2273830
Pages (from-to)1325-1336
Number of pages12
JournalIEEE/ACM Transactions on Networking
Issue number4
Publication statusPublished - 2014 Aug
Externally publishedYes


  • Asymptotically optimal scheme
  • energy allocation
  • rechargeable sensor networks
  • routing

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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