Joint data rate and power allocation for lifetime maximization in interference limited ad hoc networks

Riku Jäntti, Seong Lyun Kim

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

In this paper, we consider the following problem in the wireless ad hoc network: Given a set of paths between source and destination, how to divide the data flow among the paths and how to control the transmission rates, times, and powers of the individual links in order to maximize the operation time of the worst network node. If all nodes are of equal importance, the operation time of the worst node is also the lifetime of the network. By solving the problem, our aim is to investigate how the network lifetime is affected by link conditions such as the maximum transmission power of a node and the peak data rate of a link. For the purpose, we start from a system model that incorporates the carrier to interference ratio (CIR) into a variable data rate of a link. With this, we can develop an iterative algorithm for the lifetime maximization, which resembles to the distributed power control in cellular systems. Numerical examples on the iterative algorithm are included to illustrate the network lifetime as a function of the maximum transmission power and the peak data rate.

Original languageEnglish
Pages (from-to)1086-1094
Number of pages9
JournalIEEE Transactions on Wireless Communications
Volume5
Issue number5
DOIs
Publication statusPublished - 2006 May

Bibliographical note

Funding Information:
Manuscript received January 27, 2004; revised December 7, 2004; accepted March 23, 2005. The associate editor coordinating the review of this paper and approving it for publication was H. Yanikomeroglu. This paper was presented in part at IEEE Vehicular Technology Conference Spring, Jeju, Korea, April, 2003. This work is supported jointly by the Academy of Finland (grant no. 74585) and BROMA-ITRC, Ministry of Information and Communications, Korea.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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