Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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,  consider a team of mobile nodes that are assigned the task of establishing a communication link beten two base stations with minimum energy consumption.  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,  propose multiple suboptimal policies based on the concepts of approximate dynamic programming. To provide performance guarantees,  compute upper bounds on the performance gap beten the proposed suboptimal policies and the global optimal policy. Finally,  discuss merits and demerits of the proposed policies and compare their performance using simulations.
['Hassan Jaleel', 'Jeff S. Shamma']
I am writing a research paper on a idea Decentralized energy aware co-optimization of mobility and communication in multiagent systems
[{"from": "human", "value": "I am writing a research paper on a idea Decentralized energy aware co-optimization of mobility and communication in multiagent systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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,  consider a team of mobile nodes that are assigned the task of establishing a communication link beten two base stations with minimum energy consumption.  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,  propose multiple suboptimal policies based on the concepts of approximate dynamic programming. To provide performance guarantees,  compute upper bounds on the performance gap beten the proposed suboptimal policies and the global optimal policy. Finally,  discuss merits and demerits of the proposed policies and compare their performance using simulations."}]