NDLI: Optimizing movement and connectivity in mobile networks with partial cooperativeness

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Optimizing movement and connectivity in mobile networks with partial cooperativeness

Content Provider	ACM Digital Library
Author	Malouch, Naceur Chelly, Bayrem
Abstract	In this paper we consider a cooperative application deployed over mobile nodes that aims to connect them in order to form a network where they can continuously interact together. Two types of nodes are considered, cooperative and non-cooperative. The former can move and change its location to connect itself or other nodes to the target network, whereas the latter does not move. Our objective then is to maximize the number of connected nodes in this partially cooperative network while minimizing the traveled distances performed by cooperative nodes. This leads to an NP-Hard optimization problem which is solved through several algorithms designed using clustering and assignment techniques. We also model the application as a non-linear mixed integer problem in order to compare with numerical solutions in a reasonable scale scenario. Simulation results show that algorithms based on cloudy clustering combined with a weighted cost assignment technique increase the number of connected nodes while reducing the traveled distance, compared to Force-based algorithms. Since our algorithm is designed by analyzing several strategies and by focusing on the connectivity-movement tradeoff, it achieves within 10% of the optimal numerical solution in term of traveled distance. Besides, it provides functional insights on how node movement can be controlled in such mobile cooperative networks.
Starting Page	117
Ending Page	124
Page Count	8
File Format	PDF
ISBN	9781450309011
DOI	10.1145/2069131.2069151
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Movement Wireless networks Mobile networks Connectivity Cooperative networks
Content Type	Text
Resource Type	Article

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