Multi-Hop Routing-Based Optimization of the Number of Cluster-Heads in Wireless Sensor Networks

Wireless sensor networks require energy-efficient data transmission because the sensor nodes have limited power. A cluster-based routing method is more energy-efficient than a flat routing method as it can only send specific data for user requirements and aggregate similar data by dividing a network into a local cluster. However, previous clustering algorithms have some problems in that the transmission radius of sensor nodes is not realistic and multi-hop based communication is not used both inside and outside local clusters. As energy consumption based on clustering is dependent on the number of clusters, we need to know how many clusters are best. Thus, we propose an optimal number of cluster-heads based on multi-hop routing in wireless sensor networks. We observe that a local cluster made by a cluster-head influences the energy consumption of sensor nodes. We determined an equation for the number of packets to send and relay, and calculated the energy consumption of sensor networks using it. Through the process of calculating the energy consumption, we can obtain the optimal number of cluster-heads in wireless sensor networks.

[1]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[2]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[3]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[4]  Piyush Gupta,et al.  Critical Power for Asymptotic Connectivity in Wireless Networks , 1999 .

[5]  J.A. Gutierrez,et al.  IEEE 802.15.4: a developing standard for low-power low-cost wireless personal area networks , 2001, IEEE Network.

[6]  Catherine Rosenberg,et al.  Homogeneous vs heterogeneous clustered sensor networks: a comparative study , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[7]  Jiannong Cao,et al.  An Energy-Aware Routing Protocol in Wireless Sensor Networks , 2009, Sensors.

[8]  Anthony Ephremides,et al.  The Design and Simulation of a Mobile Radio Network with Distributed Control , 1984, IEEE J. Sel. Areas Commun..

[9]  Konrad Iwanicki,et al.  Multi-hop Cluster Hierarchy Maintenance in Wireless Sensor Networks: A Case for Gossip-Based Protocols , 2009, EWSN.

[10]  Albert Y. Zomaya,et al.  Proceedings, Fourth International Symposium on Parallel Architectures, Algorithms, and Networks (I-SPAN '99), Perth/Fremantle, Australia, 23-25 June, 1999 , 1999 .

[11]  William M. McEneaney,et al.  Stochastic Analysis, Control, Optimization and Applications: A Volume in Honor of W.H. Fleming , 2012 .

[12]  Anthony Ephremides,et al.  The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm , 1981, IEEE Trans. Commun..

[13]  Catherine Rosenberg,et al.  Design guidelines for wireless sensor networks: communication, clustering and aggregation , 2004, Ad Hoc Networks.

[14]  Andrea J. Goldsmith,et al.  Capacity regions for wireless ad hoc networks , 2003, IEEE Trans. Wirel. Commun..

[15]  Radhika Nagpal,et al.  An Algorithm For Group Formation In An Amorphous Computer , 1998 .