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Article
Hole Detection and Shape-Free Representation and Double Landmarks Based Geographic Routing in Wireless Sensor Networks
Digital Communications and Networks
  • Jianjun Yang, University of North Georgia
  • Zongming Fei, University of Kentucky
  • Ju Shen, University of Dayton
Document Type
Article
Publication Date
2-1-2015
Abstract

In wireless sensor networks, an important issue of geographic routing is “local minimum” problem, which is caused by a “hole” that blocks the greedy forwarding process. Existing geographic routing algorithms use perimeter routing strategies to find a long detour path when such a situation occurs. To avoid the long detour path, recent research focuses on detecting the hole in advance, then the nodes located on the boundary of the hole advertise the hole information to the nodes near the hole. Hence the long detour path can be avoided in future routing. We propose a heuristic hole detecting algorithm which identifies the hole easily and quickly and then propose a representation of hole no matter what the shape of the hole is. In addition, we quantitatively figure out the areas in the vicinity of the hole that need to be announced the hole information. With such information, a new routing scheme with two landmarks was developed. Simulation results illustrate that our approach can achieve better performance in terms of the average length and number of hops in routing paths. Simulation also shows that our approach introduces very small computational complexity.

Inclusive pages
75–83
ISBN/ISSN
2352-8648
Document Version
Published Version
Comments

This document is provided for download in compliance with the publisher's policy on self-archiving. Open Access funded by Chongqing University of Posts and Telecommunications under a Creative Commons license. Permission documentation is on file.

Publisher
Elsevier
Peer Reviewed
Yes
Citation Information
Jianjun Yang, Zongming Fei and Ju Shen. "Hole Detection and Shape-Free Representation and Double Landmarks Based Geographic Routing in Wireless Sensor Networks" Digital Communications and Networks Vol. 1 Iss. 1 (2015)
Available at: http://works.bepress.com/ju_shen/25/