|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 126 - Issue 10 |
| Published: September 2015 |
| Authors: Koteswararao Seelam, M. Sailaja, T. Madhu |
10.5120/ijca2015906199
|
Koteswararao Seelam, M. Sailaja, T. Madhu . An Efficient Distance-Energy-based Minimum Spanning Tree (DE-MST) for Wireless Sensor Networks. International Journal of Computer Applications. 126, 10 (September 2015), 10-18. DOI=10.5120/ijca2015906199
@article{ 10.5120/ijca2015906199,
author = { Koteswararao Seelam,M. Sailaja,T. Madhu },
title = { An Efficient Distance-Energy-based Minimum Spanning Tree (DE-MST) for Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 126 },
number = { 10 },
pages = { 10-18 },
doi = { 10.5120/ijca2015906199 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Koteswararao Seelam
%A M. Sailaja
%A T. Madhu
%T An Efficient Distance-Energy-based Minimum Spanning Tree (DE-MST) for Wireless Sensor Networks%T
%J International Journal of Computer Applications
%V 126
%N 10
%P 10-18
%R 10.5120/ijca2015906199
%I Foundation of Computer Science (FCS), NY, USA
The sensor nodes used in Wireless Sensor Networks (WSN) perform close-range sensing in any environment and are compact, battery-powered, light-weight devices. The overall network performance depends on the routing protocols in the network layer and the flow control protocols at the data link layer. This study proposes a novel routing protocol by adapting the Minimum Spanning Tree (MST), Low-Energy Adaptive Clustering Hierarchy (LEACH), and Clustering with One-Time Setup (COTS) to save energy and maximize the network life time and reduce the network delay. The inter-cluster communication among Cluster Heads (CH) has been proposed based on the Distance Energy- based MST (DE-MST) technique and a novel pipelining technique was introduced for effective channel utilization. Simulations showed an improvement over LEACH, MST-based clustering, and COTS techniques by this method.