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A moving algorithm for non-uniform deployment in mobile sensor networks

Published: 10 September 2008 Publication History

Abstract

Previous research indicated that uniform deployment was not the most efficient way for saving energy in wireless sensor networks. The location nearer to a sink should have more sensors deployed. This paper describes a moving algorithm for achieving the non-uniform deployment (MAND). With MAND, mobile sensors can move to appropriate locations to prolong the system lifetime. With two refinements on MAND (called EMAND), not only the coverage of the network is maintained, but the lifetime can be improved enormously. Simulation results show that EMAND performs well in the environment with more sensing events.

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Cited By

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  • (2019)An Energy-Efficient Sensor Deployment Scheme for Wireless Sensor Networks Using Ant Colony Optimization AlgorithmWireless Personal Communications: An International Journal10.1007/s11277-015-2338-x82:4(2135-2153)Online publication date: 3-Jan-2019
  • (2018)A myopic mobile sink migration strategy for maximizing lifetime of wireless sensor networksWireless Networks10.1007/s11276-013-0606-920:2(303-318)Online publication date: 29-Dec-2018
  • (2016)The Development of Mobile Wireless Sensor NetworksMobile Computing and Wireless Networks10.4018/978-1-4666-8751-6.ch017(365-394)Online publication date: 2016
  • Show More Cited By

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cover image ACM Other conferences
Mobility '08: Proceedings of the International Conference on Mobile Technology, Applications, and Systems
September 2008
689 pages
ISBN:9781605580890
DOI:10.1145/1506270
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2008

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Author Tags

  1. mobile sensor networks
  2. moving protocol
  3. network's lifetime

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View all
  • (2019)An Energy-Efficient Sensor Deployment Scheme for Wireless Sensor Networks Using Ant Colony Optimization AlgorithmWireless Personal Communications: An International Journal10.1007/s11277-015-2338-x82:4(2135-2153)Online publication date: 3-Jan-2019
  • (2018)A myopic mobile sink migration strategy for maximizing lifetime of wireless sensor networksWireless Networks10.1007/s11276-013-0606-920:2(303-318)Online publication date: 29-Dec-2018
  • (2016)The Development of Mobile Wireless Sensor NetworksMobile Computing and Wireless Networks10.4018/978-1-4666-8751-6.ch017(365-394)Online publication date: 2016
  • (2015)The Development of Mobile Wireless Sensor NetworksTechnological Breakthroughs in Modern Wireless Sensor Applications10.4018/978-1-4666-8251-1.ch011(257-286)Online publication date: 2015
  • (2015)Energy efficient gathering of delay tolerant sensing data in wireless sensor networks2015 International Conference on Information Networking (ICOIN)10.1109/ICOIN.2015.7057879(183-188)Online publication date: Jan-2015
  • (2011)A simple myopic mobile sink strategy for wireless sensor networksProceedings of the 30th IEEE International Performance Computing and Communications Conference10.1109/PCCC.2011.6108064(1-8)Online publication date: 17-Nov-2011
  • (2011)Ant colony optimization based sensor deployment protocol for wireless sensor networksExpert Systems with Applications: An International Journal10.1016/j.eswa.2010.11.07938:6(6599-6605)Online publication date: 1-Jun-2011

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