Decentralized energy aware co-optimization of mobility and communication in multiagent systems
Type
Conference PaperAuthors
Jaleel, HassanShamma, Jeff S.

KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2017-01-05Online Publication Date
2017-01-05Print Publication Date
2016-12Permanent link to this record
http://hdl.handle.net/10754/622790
Metadata
Show full item recordAbstract
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 KAUSTAdditional Links
http://ieeexplore.ieee.org/document/7798664/ae974a485f413a2113503eed53cd6c53
10.1109/CDC.2016.7798664