Abstract
A cognitive radio sensor network (CRSN) is a wireless sensor network whose sensor nodes are equipped with cognitive radio capability. Clustering is one of the most challenging issues in CRSNs, as all sensor nodes, including the cluster head, have to use the same frequency band in order to form a cluster. However, due to the nature of heterogeneous channels in cognitive radio, it is difficult for sensor nodes to find a cluster head. This paper proposes a novel energy-efficient and compact clustering scheme named clustering with temporary support nodes (CENTRE). CENTRE efficiently achieves a compact cluster formation by adopting two-phase cluster formation with fixed duration. By introducing a novel concept of temporary support nodes to improve the cluster formation, the proposed scheme enables sensor nodes in a network to find a cluster head efficiently. The performance study shows that not only is the clustering process efficient and compact but it also results in remarkable energy savings that prolong the overall network lifetime. In addition, the proposed scheme decreases both the clustering overhead and the average distance between cluster heads and their members.
Highlights
A wireless sensor network (WSN) is a network of a large number of densely deployed sensor nodes [1]
These performance improvements are due to the properties of clustering with temporary support nodes (CENTRE), which are: (1) it does not require multiple beacon/data broadcasts during the cluster formation, (2) it has fixed cluster formation duration which does not depend on the number of sensor nodes, (3) it enables transmission power adjustment, (4) it has organized sleep mode, and (5) it adopts temporary support nodes which results in compact clustering
A novel energy-efficient and compact clustering scheme called CENTRE with temporary support nodes is proposed for cognitive radio sensor network (CRSN)
Summary
A wireless sensor network (WSN) is a network of a large number of densely deployed sensor nodes [1]. On the other hand, support longer transmission ranges and consume less energy and, they are suitable for one-hop data collections from cluster heads to the sink. The proposed work is shown to have low clustering overhead and a short distance between cluster heads and their members Another contribution is that a novel approach of clustering is developed by introducing the concept of a temporary support node. In a CRSN, the sensor nodes might not be able to locate a cluster head even though the cluster head may be inside their transmission range because the sensor nodes and the cluster head use different channels This condition is anticipated in sub-phase 2 when each cluster head actively search for sensor nodes that can become its members, with the help of a TS node.
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