DocumentCode :
240824
Title :
Optimized trajectory of a robot deploying wireless sensor nodes
Author :
Khoufi, Ines ; Livolant, Erwan ; Minet, Pascale ; Hadded, Mohamed ; Laouiti, Anis
Author_Institution :
Inria, Le Chesnay, France
fYear :
2014
fDate :
12-14 Nov. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Mobile robots can be used to deploy static wireless sensor nodes to achieve the coverage and connectivity requirements of the applications considered. Many solutions have been provided in the literature to compute the set of locations where the sensor nodes should be placed. In this paper, we show how this set of locations can be used by a mobile robot to optimize its tour to deploy the sensor nodes to their right locations. In order to reduce both the energy consumed by the robot, its exposure time to a hostile environment, as well as the time at which the wireless network becomes operational, the optimal tour of the robot is this minimizing the delay. This delay must take into account not only the time needed by the robot to travel the tour distance but also the time spent in the rotations performed by the robot each time it changes its direction. This problem is called the Robot Deploying Sensor nodes problem, in short RDS. We first show how this problem differs from the well-known traveling salesman problem. We then propose an integer linear program formulation of the RDS problem. We propose various algorithms relevant to iterative improvement by exchanging tour edges, genetic approach and hybridization. The solutions provided by these algorithms are compared and their closeness to the optimal is evaluated in various configurations.
Keywords :
integer programming; linear programming; mobile robots; sensor placement; travelling salesman problems; wireless sensor networks; RDS; energy consumption; integer linear program formulation; mobile robot optimized trajectory; mobile robots; robot deploying sensor nodes problem; static wireless sensor nodes; traveling salesman problem; wireless network; Approximation algorithms; Genetics; Robot sensing systems; Sociology; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Days (WD), 2014 IFIP
Conference_Location :
Rio de Janeiro
Type :
conf
DOI :
10.1109/WD.2014.7020826
Filename :
7020826
Link To Document :
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