Arbitrary walk with minimum length based route identification scheme in graph structure for opportunistic wireless sensor network-Reference-Cited by-同舟云学术

Arbitrary walk with minimum length based route identification scheme in graph structure for opportunistic wireless sensor network

Published:2020 Issue: Volume: Page:47-63
ISSN:
Container-title:Swarm Intelligence for Resource Management in Internet of Things
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Author:

Sivabalan S.,Dhamodharavadhani S.,Rathipriya R.

Publisher

Elsevier

Reference20 articles.

1. Probabilistic routing in intermittently connected networks;Lindgren;ACM SIGMOBILE Mob. Comput. Commun. Rev.,2003

2. A. Mtibaa, M. May, C. Diot, et al., People rank: social opportunistic forwarding, in: IEEE Proc. Infocom, 2010, pp. 111–115.

3. Social network analysis: methods and applications;Wolfe;Am. Ethnologist,1997

4. D. Karaboga, An idea based on honey bee swarm for numerical optimization, Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, Turkey, 2005.

5. Maintaining time-decaying stream aggregates;Cohen;J. Algorithms,2006

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