Name
Abstract | ||
|---|---|---|
Mobile Ad hoc Networks (MANETs) are used for many strategic commercial and military applications where it is not feasible to use a centralized controller or manually deploy assets. They have proved useful for many practical applications, such as search and rescue, clearing mine fields, and transportation systems. We introduce a differential evolution based topological control mechanism for the decision making process of evolutionary and autonomous systems that adaptively reconfigures spatial configuration in MANETs. We present a formal analysis of the effectiveness of our topology control mechanism and introduce an inhomogeneous Markov chain model to prove its convergence. The experiment results from our simulation software show that our biologically-inspired algorithm produces encouraging results for uniform distribution of mobile nodes over unknown terrains. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SARNOF.2012.6222729 | Sarnoff Symposium |
Keywords | Field | DocType |
markov processes,evolutionary computation,mobile ad hoc networks,telecommunication congestion control,telecommunication network topology,manet,markov chain model,autonomous system,biologically-inspired algorithm,decision making process,differential evolution,mobile ad hoc network,topology control,mobile computer,convergence,simulation software,topology,mobile communication,ad hoc networks,mobile computing,uniform distribution,ad hoc network,markov process | Mobile ad hoc network,Mobile computing,Topology control,Markov process,Computer science,Markov chain,Evolutionary computation,Computer network,Differential evolution,Wireless ad hoc network,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4673-1465-7 | 5 | 0.48 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| stephen gundry | 1 | 5 | 0.48 |
| jianmin zou | 2 | 5 | 0.48 |
| janusz kusyk | 3 | 5 | 0.48 |
| cem safak sahin | 4 | 5 | 0.48 |
| M. Umit Uyar | 5 | 62 | 8.24 |