The week's pick
Reseach Article
Improving Congestion Performance in WSN by using Enhanced Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 96 - Number 3 |
| Year of Publication: 2014 |
| Authors: P. S. Raghavendran, R. Asokan, V. Praveenkumar |
10.5120/16774-6345
|
P. S. Raghavendran, R. Asokan, V. Praveenkumar . Improving Congestion Performance in WSN by using Enhanced Algorithm. International Journal of Computer Applications. 96, 3 ( June 2014), 18-23. DOI=10.5120/16774-6345
Abstract
Wireless sensor networks (WSNs) have expanded their monitoring and tracking applications in wide areas, such as military, medical, and aerospace fields. Although they are used in many important fields, their performance under harsh conditions still remains to be improved, especially when a WSN experience a congestion, the packets reaching the base station (BS) from the near-by node will be higher when compared with the packets delivered from the far-away node reaching the base station. Since the goal of WSN applications is to monitor the whole designated area, such unfairness is not suitable. In addition, the average latency during congestion is very long, failing to fulfil the data freshness requirement of WSN applications. To improve the performance the mostly FIFO (First-In, First-Out) technique is used. In this Technique packets reaching first will be delivered first and the packets coming from faraway node will reach lately than the nearby node hence they are delivered after delivering the nearby node packets. So during this process packets from faraway nodes will get losed more than the nearby nodes. To further improve the fairness performance, the single queue in each node is divided into multiple weighted sub-queues logically, and the packets in each Sub queue are forwarded based on its weight. By doing so the data receptions from other nodes at the BS get balanced. The simulation is done in Qualnet simulator. Both theoretical analysis and extensive experiments verify the performance improvement of our approach.
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