To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Abstract. We consider the problem of bootstrapping self-organized mobile ad hoc networks (MANET), i.e. reliably determining in a distributed and self-organized manner the services ...
Network coding has been recently proposed as an efficient method to improve throughput, minimize delays and remove the need for reconciliation between network nodes in distribute...
Nikolaos Thomos, Hyunggon Park, Eymen Kurdoglu, Pa...
Recent advances in low-power sensing devices coupled with the widespread availability of wireless ad-hoc networks have fueled the development of sensor networks. These are typical...
Amir Soheili, Vana Kalogeraki, Dimitrios Gunopulos
We analyze the performance of greedy routing for array networks by providing bounds on the average delay and the average number of packets in the system for the dynamic routing pr...