@article{(Open Science Index):https://publications.waset.org/pdf/10004646,
	  title     = {Dominating Set Algorithm and Trust Evaluation Scheme for Secured Cluster Formation and Data Transferring},
	  author    = {Y. Harold Robinson and  M. Rajaram and  E. Golden Julie and  S. Balaji},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper describes the proficient way of choosing the cluster head based on dominating set algorithm in a wireless sensor network (WSN). The algorithm overcomes the energy deterioration problems by this selection process of cluster heads. Clustering algorithms such as LEACH, EEHC and HEED enhance scalability in WSNs. Dominating set algorithm keeps the first node alive longer than the other protocols previously used. As the dominating set of cluster heads are directly connected to each node, the energy of the network is saved by eliminating the intermediate nodes in WSN. Security and trust is pivotal in network messaging. Cluster head is secured with a unique key. The member can only connect with the cluster head if and only if they are secured too. The secured trust model provides security for data transmission in the dominated set network with the group key. The concept can be extended to add a mobile sink for each or for no of clusters to transmit data or messages between cluster heads and to base station. Data security id preferably high and data loss can be prevented. The simulation demonstrates the concept of choosing cluster heads by dominating set algorithm and trust evaluation using DSTE. The research done is rationalized.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {10},
	  number    = {2},
	  year      = {2016},
	  pages     = {413 - 418},
	  ee        = {https://publications.waset.org/pdf/10004646},
	  url   	= {https://publications.waset.org/vol/110},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 110, 2016},
	}