DocumentCode :
3348495
Title :
Using linear optimization and swarm intelligent heuristic to find a route for MANET
Author :
Yawei Liang ; Pond, G.
Author_Institution :
Dept. of Math. & Comput. Sci., R. Mil. Coll. of Canada, Kingston, ON, Canada
Volume :
4
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
2368
Lastpage :
2372
Abstract :
The aim of this study is to explore potential routing protocol for software development of MANET (Mobile Ad-hoc Network) peer-to-peer system which can be used for battle field radio communications. MANET consists of a number of mobile devices which communicate over radio, and a MANET with cell phones (MANET-WCP) is the physical infrastructure of the underlined research. One of the biggest challenges of this type of network is to find a route between a source node to a destination node via intermediate nodes with mobility. In this paper, we present a routing protocol using swarm intelligent heuristic (SIH) for MANET-WCP. We refer to the protocol as the Swap Intelligent Heuristic Associate Based Routing, i.e., SIH-ABR. The protocol replaces the route selection mechanism with ant colony optimization heuristic. The main objectives of this approach are: 1). to test the adaptation of SIH-ABR; 2). to verify the efficiency of service; 3). to explore its scalability with a larger number of nodes in a land battle scenario.
Keywords :
mobile ad hoc networks; optimisation; peer-to-peer computing; routing protocols; software engineering; MANET; ant colony optimization heuristic; battle field radio communications; cell phones; destination node; intermediate nodes; linear optimization; mobile ad hoc networks; mobile devices; peer-to-peer system; routing protocol; software development; source node; swap intelligent heuristic associate based routing; swarm intelligent heuristic; Mobile ad hoc networks; Mobile communication; Mobile computing; Routing; Routing protocols; MANET; ad-hoc network; routing protocol/algorithm; swarm intelligent heuristic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022430
Filename :
6022430
Link To Document :
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