Title :
Optimal Number of Clusters in Dense Wireless Sensor Networks: A Cross-Layer Approach
Author :
Wang, Li-Chun ; Wang, Chung-Wei ; Liu, Chuan-Ming
Author_Institution :
Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu
Abstract :
Cluster-based sensor networks have the advantages of reducing energy consumption and link-maintenance cost. One fundamental issue in cluster-based sensor networks is determining the optimal number of clusters. In this paper, we suggest a physical (PHY)/medium access control (MAC)/network (NET) cross-layer analytical approach for determining the optimal number of clusters, with the objective of minimizing energy consumption in a high-density sensor network. Our cross-layer design can incorporate many effects, including lognormal shadowing and a two-slope path loss model in the PHY layer, various MAC scheduling, and multihop routing schemes. Compared with the base-line case with one cluster per observation area (OA), a sensor network with the proposed optimal number of clusters can reduce the energy consumption by more than 80% in some cases. We also verify by simulations that the analytical optimal cluster number can still effectively function, regardless of the different densities of sensors in various OAs.
Keywords :
access control; scheduling; telecommunication network routing; wireless sensor networks; MAC scheduling; PHY layer; cluster-based sensor networks; cross-layer approach; energy consumption; high-density sensor network; medium access control network; multihop routing schemes; optimal number; wireless sensor networks; Cross-layer design; Optimal number of clusters; Wireless sensor networks; optimal number of clusters; wireless sensor networks;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2008.928637