ENHANCED APPROACH OF CLUSTER HEAD SELECTION USING RANK AND WEIGHT ASSIGNMENT IN WIRELESS SENSOR NETWORK
Published In: INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING AND COMMUNICATION ENGINEERING
Author(s): GUNJAN JAIN , S.R BIRADAR
Abstract: With the evolution of wireless sensor network, the interest in their application have increased considerably. The architecture of the system differs with the application requirement and characteristics. Now days there are number of applications in which hierarchal based networks is highly in demand and key concept of such network is clustering. Some of the most well known hierarchical routing protocols are LEACH, TEEN, APTEEN and HEED. These different conventional protocols have diverse strategies to select their cluster head but still have some limitations. Based on the limitations of these conventional models, a new approach has been proposed on the basis of ranks and weights assignment. This approach will consider not only residual energy but also node’s degree and distance of nodes with base station. The node which will have higher weight will be chosen as a cluster head. The objective of this approach is to have balance distribution of clusters, enhance lifetime and better efficie
- Publication Date: 21-Apr-2013
- DOI: 10.15224/978-981-07-6184-4-13
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COMMON ENTRY ERADICATION AND CLUSTER ELIMINATION IN MANETS (CEECE)
Published In: INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING AND COMMUNICATION ENGINEERING
Author(s): SACHIN KHURANA , R.K. SINGH
Abstract: Mobile Ad hoc Networks is a collection of wireless mobile nodes, which form temporary networks without relying on any existing infrastructure or centralized administration or standard support services regularly available in wide area networks to which the host may normally be connected. Clustering is the process of building hierarchies among nodes in the network. In this approach an ad hoc network is partitioned into group of nodes called as clusters. In this paper, we proposed an algorithm CEECE to eradicate cluster formation by removing the common entries that will ultimately optimize the performance of network structure. The result analysis carried by me is done using NS-2 simulator.
- Publication Date: 21-Apr-2013
- DOI: 10.15224/978-981-07-6184-4-14
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