Non-location-based mobile sensor relocation in a hybrid static-mobile wireless sensor network

Fang Jing Wu*, Hsiu Chi Hsu, Yu-Chee Tseng, Chi Fu Huang

*Corresponding author for this work

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

5 Scopus citations

Abstract

An inherent concern for a wireless sensor network (WSN) is the unbalanced energy consumption problem, where sensors closer to the sink are more likely to exhaust their energy faster than other nodes. To mitigate this problem, this paper considers including some resource-rich mobile nodes, called mobile data-pumps, to conduct data relaying from static sensors to the sink. The network thus becomes a two-tier network, with the original static sensors at the low tier and data-pumps at both low and high tiers. We propose a novel distributed navigation protocol that does not rely on any location information of sensor nodes to relocate data-pumps to meet both goals of connectivity and load balance. The main idea is a concept called virtual Voronoi cells, which can help data-pumps to locally balance their loads using the underlaying low-tier topology and thus significantly balance energy consumption of sensors. Simulation results are presented to verify the effectiveness of our result.

Original languageEnglish
Title of host publicationProceedings - 2009 3rd International Conference on Sensor Technologies and Applications, SENSORCOMM 2009
Pages643-649
Number of pages7
DOIs
StatePublished - 19 Nov 2009
Event2009 3rd International Conference on Sensor Technologies and Applications, SENSORCOMM 2009 - Athens, Glyfada, Greece
Duration: 18 Jun 200923 Jun 2009

Publication series

NameProceedings - 2009 3rd International Conference on Sensor Technologies and Applications, SENSORCOMM 2009

Conference

Conference2009 3rd International Conference on Sensor Technologies and Applications, SENSORCOMM 2009
CountryGreece
CityAthens, Glyfada
Period18/06/0923/06/09

Keywords

  • Load balance
  • Mobile computing
  • Mobile sensor
  • Pervasive computing
  • Wireless sensor network

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