Title
Testbed for Node Communication in MANETs to Uniformly Cover Unknown Geographical Terrain Using Genetic Algorithms
Abstract
Majority of research in wireless ad-hoc networks is based on software tools simulating network environment under strictly controlled conditions, mainly due to its extreme cost, difficulty of adapting real-time topological changes in the environment and complexity of implementing a realistic testbed. In this paper, we present a testbed with real wireless task-oriented autonomous MANET based on VxWorks RTOS platform using Xilinx ML310 development boards with Virtex-II Pro FPGA devices and integrated gumstix/iRobot platform running embedded linux, as well as off-the-shelf laptops and desktops. As an example experiment, we consider the task of uniformly covering an unknown geographical terrain using autonomous MANET nodes with a limited communication range, which has many military missions such as search and rescue missions, surveillance tasks, locating and mapping chemical, and biological hazards. To achieve this objective, mobile nodes exchange one-hop neighbor information to decide their speed and directions without any central coordinator. Each node runs a genetic algorithm (GA) to select fitter speed and direction among an exponentially large number of choices for a better convergence toward a uniform distribution. The testbed experiments provide an effective research tool to demonstrate that our GA delivers acceptable network area coverage.
Year
DOI
Venue
2009
10.1109/AHS.2009.38
San Francisco, CA
Keywords
Field
DocType
genetic algorithms,mobile nodes exchange one-hop,effective research tool,testbed experiment,network environment,acceptable network area coverage,autonomous manet,unknown geographical terrain,uniformly cover,irobot platform,node communication,vxworks rtos platform,autonomous manet node,fitter speed,linux,mobile communication,mobile computing,real time,testbed,embedded systems,convergence,wireless communication,robotics,uniform distribution,wireless ad hoc network,manet,ad hoc networks,genetic algorithm
Mobile ad hoc network,Mobile computing,Mobile radio,Wireless,Computer science,Computer network,Testbed,Wireless ad hoc network,Genetic algorithm,Mobile telephony,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-3714-6
1
0.39
References 
Authors
16
4
Name
Order
Citations
PageRank
Cevher Dogan110.73
Cem Safak Sahin26511.60
M. Umit Uyar3628.24
Elkin Urrea4556.79