Open Access

Mobile Agent-Based Directed Diffusion in Wireless Sensor Networks

  • Min Chen1Email author,
  • Taekyoung Kwon2,
  • Yong Yuan3,
  • Yanghee Choi2 and
  • Victor C.M. Leung1
EURASIP Journal on Advances in Signal Processing20062007:036871

https://doi.org/10.1155/2007/36871

Received: 29 November 2005

Accepted: 16 July 2006

Published: 2 October 2006

Abstract

In the environments where the source nodes are close to one another and generate a lot of sensory data traffic with redundancy, transmitting all sensory data by individual nodes not only wastes the scarce wireless bandwidth, but also consumes a lot of battery energy. Instead of each source node sending sensory data to its sink for aggregation (the so-called client/server computing), Qi et al. in 2003 proposed a mobile agent (MA)-based distributed sensor network (MADSN) for collaborative signal and information processing, which considerably reduces the sensory data traffic and query latency as well. However, MADSN is based on the assumption that the operation of mobile agent is only carried out within one hop in a clustering-based architecture. This paper considers MA in multihop environments and adopts directed diffusion (DD) to dispatch MA. The gradient in DD gives a hint to efficiently forward the MA among target sensors. The mobile agent paradigm in combination with the DD framework is dubbed mobile agent-based directed diffusion (MADD). With appropriate parameters set, extensive simulation shows that MADD exhibits better performance than original DD (in the client/server paradigm) in terms of packet delivery ratio, energy consumption, and end-to-end delivery latency.

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Authors’ Affiliations

(1)
Department of Electrical and Computer Engineering, University of British Columbia
(2)
School of Computer Science and Engineering, Seoul National University
(3)
Department of Electronics and Information Engineering, Huazhong University of Science and Technology

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Copyright

© Min Chen et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.