Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Built upon a shared wireless medium, wireless mesh network is particularly vulnerable to jamming attacks. The ability to recover from attacks and maintain an acceptable level of s...
—Energy harvesting sensor platforms have opened up a new dimension to the design of network protocols. In order to sustain the network operation, the energy consumption rate cann...
In many energy-constrained wireless sensor networks, nodes cooperatively forward correlated sensed data to data sinks. In order to reduce the communication cost (e.g. overall ener...
Junning Liu, Micah Adler, Donald F. Towsley, Chun ...
—We study the problem of landmark selection for landmark-based routing in a network of fixed wireless communication nodes. We present a distributed landmark selection algorithm ...
An Nguyen, Nikola Milosavljevic, Qing Fang, Jie Ga...