Congestion Prediction Modeling for Quality of Service Improvement in Wireless Sensor Networks

Sensors

Ga-Won Lee¹  Sung-Young Lee¹ 

[1] Department of Computer Engineering, Kyung Hee University, 1732 Deogyeong-daero, Seochon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea;

关键词: Wireless Sensor Networks (WSNs);    congestion prediction;    traffic demands analysis;    traffic modeling;   

DOI  :  10.3390/s140507857

来源: mdpi

【 摘 要 】

Information technology (IT) is pushing ahead with drastic reforms of modern life for improvement of human welfare. Objects constitute “Information Networks” through smart, self-regulated information gathering that also recognizes and controls current information states in Wireless Sensor Networks (WSNs). Information observed from sensor networks in real-time is used to increase quality of life (QoL) in various industries and daily life. One of the key challenges of the WSNs is how to achieve lossless data transmission. Although nowadays sensor nodes have enhanced capacities, it is hard to assure lossless and reliable end-to-end data transmission in WSNs due to the unstable wireless links and low hard ware resources to satisfy high quality of service (QoS) requirements. We propose a node and path traffic prediction model to predict and minimize the congestion. This solution includes prediction of packet generation due to network congestion from both periodic and event data generation. Simulation using NS-2 and Matlab is used to demonstrate the effectiveness of the proposed solution.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.