Congestion Prediction and Adaptive Rate Adjustment Technique for Wireless Sensor Networks

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Author(s):
Mrs. U. Urathal alias Sri Swathiga, Dr. C. Chandrasekar
Published Date:
July 05, 2013
Issue:
Volume 3, Issue 4
Page(s):
1 - 7
DOI:
10.7815/ijorcs.34.2013.067
Views:
3498
Downloads:
122

Keywords:
wireless sensor networks (wsns), congestion prediction, adaptive rate adjustment technique
Citation:
Mrs. U. Urathal alias Sri Swathiga, Dr. C. Chandrasekar, "Congestion Prediction and Adaptive Rate Adjustment Technique for Wireless Sensor Networks". International Journal of Research in Computer Science, 3 (4): pp. 1-7, July 2013. doi:10.7815/ijorcs.34.2013.067 Other Formats

Abstract

In general, nodes in Wireless Sensor Networks (WSNs) are equipped with limited battery and computation capabilities but the occurrence of congestion consumes more energy and computation power by retransmitting the data packets. Thus, congestion should be regulated to improve network performance. In this paper, we propose a congestion prediction and adaptive rate adjustment technique for Wireless Sensor Networks. This technique predicts congestion level using fuzzy logic system. Node degree, data arrival rate and queue length are taken as inputs to the fuzzy system and congestion level is obtained as an outcome. When the congestion level is amidst moderate and maximum ranges, adaptive rate adjustment technique is triggered. Our technique prevents congestion by controlling data sending rate and also avoids unsolicited packet losses. By simulation, we prove the proficiency our technique. It increases system throughput and network performance significantly.

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