We consider mobile agents of limited energy, which have to collaboratively deliver data from specified sources of a network to a central repository. Every move consumes energy that is proportional to the travelled distance. Thus, every agent is limited in the total distance it can travel. We ask whether there is a schedule of agents’ movements that accomplishes the delivery. We provide hardness results, as well as exact, approximation, and resource-augmented algorithms for several variants of the problem. Among others, we show that the decision problem is np-hard already for a single source, and we present a 2-approximation algorithm for the problem of finding the minimum energy that can be assigned to each agent such that the agents can deliver the data.
|Title of host publication||Proceedings of the 9th International Symposium on Algorithms and Experiments for Sensor Systems, Wireless Networks and Distributed Robotics (ALGOSENSORS)|
|Number of pages||12|
|Publication status||Published - 2013|
|Series||Lecture Notes in Computer Science|
Chalopin, J., Das, S., Mihalák, M., Penna, P., & Widmayer, P. (2013). Data Delivery by Energy-Constrained Mobile Agents. In Proceedings of the 9th International Symposium on Algorithms and Experiments for Sensor Systems, Wireless Networks and Distributed Robotics (ALGOSENSORS) (pp. 111-122). Springer Verlag. Lecture Notes in Computer Science, Vol.. 8243 https://doi.org/10.1007/978-3-642-45346-5_9