An optimal and lightweight routing for minimum energy consumption in wireless sensor networks

Noseong Park, Daeyoung Kim, Yoonmee Doh, Sangsoo Lee, Ji Tae Kim

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

6 Citations (Scopus)

Abstract

There are many trials to provide an optimal route for minimum energy consumption in a wireless sensor network. Currently, however, the mechanisms to find Minimum Energy Property Graph (MEPG) do not properly take into account the efficiency in time and storage, the optimality in results, and the feasibility in real systems. In this paper, we propose an efficient and first optimal algorithm to find the MEPG, in which all minimum energy paths are included, not only significantly reducing its total number of edges, but also obtaining an optimal result in O(VlogV+E). We also develop Power Aware Data-centric routing protocol characterized by minimum energy consumption and longer lifetime.

Original languageEnglish
Title of host publicationProceedings - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Pages387-393
Number of pages7
DOIs
Publication statusPublished - 2005 Dec 1
Event11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications - Hong Kong, China
Duration: 2005 Aug 172005 Aug 19

Publication series

NameProceedings - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications

Other

Other11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
CountryChina
CityHong Kong
Period05/8/1705/8/19

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'An optimal and lightweight routing for minimum energy consumption in wireless sensor networks'. Together they form a unique fingerprint.

  • Cite this

    Park, N., Kim, D., Doh, Y., Lee, S., & Kim, J. T. (2005). An optimal and lightweight routing for minimum energy consumption in wireless sensor networks. In Proceedings - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (pp. 387-393). [1541113] (Proceedings - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications). https://doi.org/10.1109/RTCSA.2005.26