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    Decentralized energy aware co-optimization of mobility and communication in multiagent systems

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    Type
    Conference Paper
    Authors
    Jaleel, Hassan
    Shamma, Jeff S. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-01-05
    Online Publication Date
    2017-01-05
    Print Publication Date
    2016-12
    Permanent link to this record
    http://hdl.handle.net/10754/622790
    
    Metadata
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    Abstract
    Our goal is to design decentralized coordination strategies that enable agents to achieve global performance guarantees while minimizing the energy cost of their actions with an emphasis on feasibility for real-time implementation. As a motivating scenario that illustrates the importance of introducing energy awareness at the agent level, we consider a team of mobile nodes that are assigned the task of establishing a communication link between two base stations with minimum energy consumption. We formulate this problem as a dynamic program in which the total cost of each agent is the sum of both mobility and communication costs. To ensure that the solution is decentralized and real time implementable, we propose multiple suboptimal policies based on the concepts of approximate dynamic programming. To provide performance guarantees, we compute upper bounds on the performance gap between the proposed suboptimal policies and the global optimal policy. Finally, we discuss merits and demerits of the proposed policies and compare their performance using simulations.
    Citation
    Jaleel H, Shamma JS (2016) Decentralized energy aware co-optimization of mobility and communication in multiagent systems. 2016 IEEE 55th Conference on Decision and Control (CDC). Available: http://dx.doi.org/10.1109/CDC.2016.7798664.
    Sponsors
    Research supported by funding from KAUST
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2016 IEEE 55th Conference on Decision and Control (CDC)
    DOI
    10.1109/CDC.2016.7798664
    Additional Links
    http://ieeexplore.ieee.org/document/7798664/
    ae974a485f413a2113503eed53cd6c53
    10.1109/CDC.2016.7798664
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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