1st International ICST Conference on Robot Communication and Coordination

Research Article

Minimal Energy Path Planning for Wireless Robots

Download460 downloads
  • @INPROCEEDINGS{10.4108/ICST.ROBOCOMM2007.2130,
        author={Chia Ching Ooi and Christian Schindelhauer},
        title={Minimal Energy Path Planning for Wireless Robots},
        proceedings={1st International ICST Conference on Robot Communication and Coordination},
        proceedings_a={ROBOCOMM},
        year={2010},
        month={5},
        keywords={},
        doi={10.4108/ICST.ROBOCOMM2007.2130}
    }
    
  • Chia Ching Ooi
    Christian Schindelhauer
    Year: 2010
    Minimal Energy Path Planning for Wireless Robots
    ROBOCOMM
    ICST
    DOI: 10.4108/ICST.ROBOCOMM2007.2130
Chia Ching Ooi1,*, Christian Schindelhauer1,*
  • 1: Albert-Ludwigs-Universit¨at Freiburg Computer Networks and Telematics Georges-K¨ohler-Allee 51, 79110 Freiburg, Germany
*Contact email: ooi@informatik.uni-freiburg.de, schindel@informatik.uni-freiburg.de

Abstract

For the first time, the problem of optimizing energy for communication and motion is investigated. We consider a single mobile robot with continuous high bandwidth wireless communication, e.g. caused by a multimedia application like video surveillance. This robot is connected to a radio base station and moves with constant speed from a given starting point on the plane to a target point. The task is to find the best path such that the energy consumption for mobility and the communication is optimized. This is motivated by the fact that the energy consumption of radio devices increases polynomially (at least to the power of two) with the transmission distance. We introduce efficient approximation algorithms finding the optimal path given the starting point, the target point and the position of the radio stations. We exemplify the influence of the communication cost by a starting scenario with one radio station. We study the performance of the proposed algorithm in simulation, compare it with the scenario without applying our approach, and present the results.