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Bypassing routing holes in WSNs with a predictive geographic greedy forwarding

Authors
Ha, M.T.[Ha, M.T.]Sakthivel, P.[Sakthivel, P.]Choo, H.[Choo, H.]
Issue Date
2009
Keywords
Routing hole problem; Sensor networks
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.5787 LNCS, pp.171 - 180
Indexed
SCOPUS
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
5787 LNCS
Start Page
171
End Page
180
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/79132
DOI
10.1007/978-3-642-04492-2_18
ISSN
0302-9743
Abstract
Applications in wireless sensor networks (WSNs) experience the routing hole problem. That is, the current node cannot forward to the destination, although it is the closest node, but not a neighbor of the destination. Accordingly, the packets from the source cannot be delivered to the destination. Jiang et al. recently proposed a SLGF approach to address this problem. However, SLGF still has long routing paths, since it uses the right-hand rule. In this paper, we describe Predictive Geographic greedy Forwarding, PGF. PGF uses information on the hole to build the virtual convex polygon, predict the routing path and choose the shorter path. PGF reduces the length and the number of hops of routing paths. Computer simulation shows our PGF scheme can reduce the average number of hops of routing paths by about 32% compared to Geographic greedy Forwarding, GF, and about 15% compared to SLGF. © 2009 Springer Berlin Heidelberg.
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