The week's pick
Reseach Article
Enhanced Balanced Cluster Lifetime Prolonging Protocol for Wireless Sensor Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 104 - Number 1 |
| Year of Publication: 2014 |
| Authors: Nidhi Rawat, Anshika Garg, Sandip Kumar Chaurasiya |
10.5120/18163-8918
|
Nidhi Rawat, Anshika Garg, Sandip Kumar Chaurasiya . Enhanced Balanced Cluster Lifetime Prolonging Protocol for Wireless Sensor Network. International Journal of Computer Applications. 104, 1 ( October 2014), 1-4. DOI=10.5120/18163-8918
Abstract
In enhanced balanced cluster lifetime prolonging protocol we investigate that how balance cluster approach work in heterogeneous environment by applying same network structure in heterogeneous environment. Dividing network in four equal static balanced cluster so that all the clusters have almost equal number of nodes. This will help in even load distribution of network and this will increase the network lifetime and energy of the network. Simulation-based evaluations are performed to compare the performance of EBCLPP against BCLPP balanced cluster lifetime prolonging protocol and EDDEEC Enhanced Developed Distributed Energy-Efficient Clustering for Heterogeneous Wireless Sensor . Our experiment results show that EBCLPP outperforms BCLPP and EDDEEC in terms of network lifetime and power consumption minimization. In heterogeneous wireless sensor network optimization of energy is the main issue. In previous scheme the clusters where formed dynamically and the cluster head selection was based on the probability. Formation of clusters dynamically lead to loss of energy in every round which affected the network lifetime and energy of every node. We investigate that how balance cluster approach work for heterogeneous wireless sensor network in this scheme we are forming the balance cluster in the start of network operation in order to reduce the overhead of cluster formation after every round. We divide sensor nodes in four cluster and all the cluster have almost equal number of nodes. And by doing so the cluster does not even get unbalanced as nodes in all the clusters are almost same. Cluster head selection is mapped to homogenous network that is done by finding the weight of nodes in the cluster and so the node having highest energy will become cluster head for the round. In this case all the nodes whether they are super nodes or normal nodes all the nodes get the chance to become the cluster head. This will increase the number of nodes alive over time and also the average energy per node.
References
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