Link capacity-energy aware WDC for network lifetime maximization

Seonghyun Kim, Sanghoon Lee

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

With the increase in flexibility and capabilities of wireless networks, the use of distributed computing over wireless network environments is being researched in order to maximize network sustainability and interoperability among distributed nodes. To this end, a new paradigm is required for optimization of a more generalized environment. This environment would include various nodes of different processing and communication abilities constrained by circuit powers and residual energy over individual dynamic wireless channels. In this paper, we present a novel strategy named link capacity-energy aware wireless distributed computing (LEA-WDC) for maximizing the lifetime of a wireless network. The major advantage of LEA-WDC is its achievement of lifetime maximization by systematically reconciling highly coupled system parameters (tasks, processing power, communication power, and residual energy) in terms of the role of nodes and the layer of each node. To attain an optimal solution, we perform unique interworking optimization via decomposition in accordance with the roles of header and slave nodes. The evaluation results of our simulation verify that the lifetime is further maximized by finding the optimal transmission power of each node according to the Shannon capacity.

Original languageEnglish
Article number6910304
Pages (from-to)1615-1628
Number of pages14
JournalIEEE Transactions on Mobile Computing
Volume14
Issue number8
DOIs
Publication statusPublished - 2015 Aug 1

All Science Journal Classification (ASJC) codes

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

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