A Multiconstrained QoS Aware MAC Protocol for Cluster-Based Cognitive Radio Sensor Networks

Abstract

Traditional wireless sensor networks (WSNs) work over the unlicensed spectrum, and as the spectrum becomes increasingly crowded, they suffer from uncontrolled interference. Recently, cognitive radio based sensor networks (CRSNs) have been envisioned as a promising type of implementation that provides quality-of-service (QoS) features for data transmissions. However, key challenges remain in designing energy-efficient medium access control techniques that can achieve QoS. In this paper, we have developed a multiconstrained QoS aware MAC protocol, MQ-MAC, for a cluster based CRSN. In MQ-MAC, a data channel and a backup channel are assigned to a secondary user by the respective cluster head by using dynamic channel priorities. The user device can switch to the backup channel when a primary user appears to be operating over the data channel. Member nodes of a cluster are also prioritized with respect to the urgency of their generated data packets. Performance evaluations, carried out in NS-3 simulator, show that the proposed MQ-MAC protocol offers better performance than existing MAC protocols for CRSN.

Energy-Efficient Medium Access Control Protocols for Cognitive Radio Sensor Networks: A Comparative Survey

“…This protocol focuses not only on energy consumption, but also on various QoS constrains of data packets, such as reliability and delay [ 42 ]. To realize such a delay-and-reliability-aware traffic, separate slots are assigned, namely the guaranteed time slots (GTS).…”

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

“…CHs then forward their data to sinks or base stations (BS) which are supposed to have higher energy and stronger processing capabilities. The existing clustering algorithms [15][16][17][18] consider homogeneous sensor nodes, and in [19] a cluster-based approached is formed for a meshed network. Within the cluster, the CH is responsible for the spectrum management.…”

A Survey on Node Clustering in Cognitive Radio Wireless Sensor Networks

“…The existing clustering algorithms in the literature [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ] consider homogeneous CR-WS nodes, and CHs are selected iteratively based on residual energy and other parameters. Most of these clustering methods are similar to conventional clustering for WSNs, and seldom consider the complexities of CR-WSNs.…”

“…It is based on a clustering scheme for WSNs by Lin and Gerla [ 52 ]. Pritom et al [ 11 ] proposed a MAC protocol for cluster-based CR-WSNs, but its MAC scheme is based on the Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol [ 53 ], which is specially designed for WSNs.…”

“…There has been plenty of work done in clustering for mobile ad hoc networks (MANET) [ 5 , 6 ], WSNs [ 7 ], and cognitive radio networks (CRNs) [ 8 , 9 ]. Although some clustering issues have been addressed in the literature [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ], clustering still remains a vastly unexplored domain in CR-WSNs.…”