In this paper, we consider the problem of assigning the sensing task to cover maximum
number of targets while minimizing the energy consumption of the sensing operation. To this …

Factored Markov Decision Processes (fMDPs) are a class of Markov Decision Processes
(MDPs) in which the states (and actions) can be factored into a set of state (and action) …

In this paper, we formulate the problem of multiple targets coverage in WSNs as determining
the sensing range of each sensor node to maximize total utility of the network. Our utility …

Information derived from sensor networks plays a crucial role in the success of many critical
tasks such as surveillance, and border monitoring. In order to derive the correct information …

Coverage and tracking of multiple targets, are viewed as important challenges in WSNs,
mainly aimed for future ubiquitous and pervasive applications. Target coverage in WSNs …

Network Utility Maximization (NUM) techniques, which cast resource sharing problems as
one of distributed utility maximization, have been investigated for a variety of optimization …

A sensor network often consists of a large number of sensing devices of different types.
Upon deployment in the field, these sensing devices form an ad hoc network using wireless …

論文抄録 複数のユーザが複数のタスクを投入する共有型の無線センサネットワーク (WSN)
においては資源競合問題を解消する必要がある. システムは重要度の高いタスクを優先しながら多く …

Sensor networks consist of a number of small sensing devices that are battery-operated and
have very limited capabilities. When such sensors are deployed they form a wireless ad-hoc …

The vision of ubiquitous computing (UbiComp), as introduced by Mark Weiser, goes beyond
simple embedding of computational capabilities in the environment. The vision foresees the …