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SenCar: An energy efficient data gathering mechanism for large scale multihop sensor networks

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

In this paper, we propose a new data gathering mechanism for large scale multihop sensor networks. A mobile data observer, called SenCar, which could be a mobile robot or a vehicle equipped with a powerful transceiver and battery, works like a mobile base station in the network. SenCar starts the data gathering tour periodically from the static data processing center, traverses the entire sensor network, gathers the data from sensors while moving, returns to the starting point, and finally uploads data to the data processing center. Unlike SenCar, sensors in the network are static, and can be made very simple and inexpensive. They upload sensing data to SenCar when SenCar moves close to them. Since sensors can only communicate with others within a very limited range, packets from some sensors may need multihop relays to reach SenCar. We first show that the moving path of SenCar can greatly affect the network lifetime. We then present heuristic algorithms for planning the moving path/circle of SenCar and balancing traffic load in the network. We show that by driving SenCar along a better path and balancing the traffic load from sensors to SenCar, the network lifetime can be prolonged significantly. Our simulation results demonstrate that the proposed data gathering mechanism can greatly prolong the network lifetime compared to a network which has only a static observer, or a network in which mobile observer can only move along straight lines.

Original languageEnglish
Title of host publicationDistributed Computing in Sensor Systems - Second IEEE International Conference, DCOSS 2006, Proceedings
PublisherSpringer Verlag
Pages498-513
Number of pages16
ISBN (Print)3540352279, 9783540352273
DOIs
StatePublished - 2006
Event2nd IEEE International Conference - Distributed Computing in Sensor Systems, DCOSS 2006 - San Francisco, CA, United States
Duration: Jun 18 2006Jun 20 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4026 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd IEEE International Conference - Distributed Computing in Sensor Systems, DCOSS 2006
Country/TerritoryUnited States
CitySan Francisco, CA
Period06/18/0606/20/06

Keywords

  • Data gathering
  • Load balancing
  • SenCar
  • Wireless sensor networks

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