Event detection and channel allocation in cognitive radio sensor networks

Abstract

Emerging applications of wireless sensor networks require accurate event detection while coping with in-network congestion, delay, power and probability of false alarm (PFA) constraints. Dynamic spectrum access stands as a promising and spectrum-efficient communication approach for resourceconstrained wireless sensor networks. In this paper, we propose a two tier sensor network where the lower tier comprises a multi-hop sensor network with a secondary user (SU) as a cluster head, and the upper tier consists of a network of secondary users competing for spectrum in order to relay their messages to the sink node. The lower tier is therefore responsible for accurately detecting an event, whereas the upper tier is responsible for relaying the detection to the sink node efficiently. We incorporated two Constrained Markov Decision Processes (CMDP): one for accurately detecting an event while satisfying delay, PFA and congestion constraints by adjusting the detection criterion, and the other for allocating the best available spectrum to the SU on a priority basis.

Spectrum Utilization of Cognitive Radio in Industrial Wireless Sensor Networks - A Review

“…In the upper tier, it comprises a set of SUs opportunistically access the spectrum to send the detection results to the sink node. In [21], the author incorporated two constrained Markov Decision Processes (MDP) with the two-tier network for event detection and channel allocation. One MDP is used to adjust the detection criterion for the delay constraint.…”

Markov Decision Processes With Applications in Wireless Sensor Networks: A Survey

“…In cognitive radio, secondary users are allowed to opportunistically access the spectrum when it is not occupied by the primary users [124]. Jamal et al [117] used two CMDP models for efficient detection in cognitive radio WSNs. The system takes into account the detection accuracy, network congestion, and spectrum access constraints.…”

An Energy-Efficient Game-Theory-Based Spectrum Decision Scheme for Cognitive Radio Sensor Networks

“…A similar drawback can be inferred from grid-based channel assignment [ 30 ]. The Markov decision process is adapted in channel allocation [ 31 ] and operation mode selection [ 32 ]. The Markov decision process and game theory are both decision-making algorithms in which the decision makers interact with opponents in a dynamic environment.…”