Modified VIKOR Based Distributed Clustering Scheme for Wireless Sensor Networks

Stability and lifetime of Wireless Sensor Networks (WSNs) mainly depend on energy of each node in the network. Hence, it is necessary for a WSN to be energy efferent. There are different methods to preserve energy in WSNs and clustering is one of those methods. Clustering techniques divide whole network into small blocks, each having a managing node, called cluster head (CH) and rest of the nodes within that block act as members. In this paper, we propose a distributed clustering scheme, called Modified VIKOR model based Clustering (MVC) protocol. This technique uses multiple criteria i.e. residual energy, node degree, distance to the base station and average distance between a node and its neighbors, to select a cluster head. Each node shares those parameters within its transmission range and decides which CH is suitable within that region. Modified VIKOR method is used to outrank the potential nodes as CHs by considering the conflicting criteria. The realistic multi-hoping communication model is used in both, inter-cluster and intra-cluster communication, instead of single hop as in previous schemes. Simulation results show that our purposed technique performs much better than those previous methods in terms of energy efficiency, network life time, less CH deformation and control overhead.

[1]  Satish Kumar,et al.  Next century challenges: scalable coordination in sensor networks , 1999, MobiCom.

[2]  Nadeem Javaid,et al.  RF propagation analysis of MICAz Mote's antenna with ground effect , 2012, 2012 15th International Multitopic Conference (INMIC).

[3]  Deborah Estrin,et al.  Next Century Challenges: Mobile Networking for Smart Dust , 1999, MobiCom 1999.

[4]  Nadeem Javaid,et al.  Combined Human, Antenna Orientation in Elevation Direction and Ground Effect on RSSI in Wireless Sensor Networks , 2012, 2012 10th International Conference on Frontiers of Information Technology.

[5]  Abraham O. Fapojuwo,et al.  A centralized energy-efficient routing protocol for wireless sensor networks , 2005, IEEE Communications Magazine.

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

[7]  Chia-Ling Chang,et al.  A modified VIKOR method for multiple criteria analysis , 2010, Environmental monitoring and assessment.

[8]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[9]  Nadeem Javaid,et al.  Effect of Fast Moving Object on RSSI in WSN: An Experimental Approach , 2012, ArXiv.

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

[11]  Nadeem Javaid,et al.  Energy Efficient Sleep Awake Aware (EESAA) intelligent Sensor Network routing protocol , 2012, 2012 15th International Multitopic Conference (INMIC).

[12]  Vidushi Sharma,et al.  Cluster Head Selection in Wireless Sensor Networks under Fuzzy Environment , 2013 .

[13]  Nadeem Javaid,et al.  CEEC: Centralized energy efficient clustering a new routing protocol for WSNs , 2012, 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).