6,718 research outputs found
Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey
Wireless sensor networks (WSNs) consist of autonomous and resource-limited
devices. The devices cooperate to monitor one or more physical phenomena within
an area of interest. WSNs operate as stochastic systems because of randomness
in the monitored environments. For long service time and low maintenance cost,
WSNs require adaptive and robust methods to address data exchange, topology
formulation, resource and power optimization, sensing coverage and object
detection, and security challenges. In these problems, sensor nodes are to make
optimized decisions from a set of accessible strategies to achieve design
goals. This survey reviews numerous applications of the Markov decision process
(MDP) framework, a powerful decision-making tool to develop adaptive algorithms
and protocols for WSNs. Furthermore, various solution methods are discussed and
compared to serve as a guide for using MDPs in WSNs
Joint Optimal Design for Outage Minimization in DF Relay-assisted Underwater Acoustic Networks
This letter minimizes outage probability in a single decode-and-forward (DF)
relay-assisted underwater acoustic network (UAN) without direct
source-to-destination link availability. Specifically, a joint global-optimal
design for relay positioning and allocating power to source and relay is
proposed. For analytical insights, a novel low-complexity tight approximation
method is also presented. Selected numerical results validate the analysis and
quantify the comparative gains achieved using optimal power allocation (PA) and
relay placement (RP) strategies.Comment: 5 pages, 2 figures; accepted to IEEE Communications Letters 201
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