Congestion prediction modeling for quality of service improvement in wireless sensor networks.
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.
Department of Computer Engineering, Kyung Hee University, 1732 Deogyeong-daero, Seochon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea. gawon@khu.ac.kr.
Ga-Won
GW
Lee
Department of Computer Engineering, Kyung Hee University, 1732 Deogyeong-daero, Seochon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea. sylee@oslab.khu.ac.kr.
Sung-Young
SY
Lee
Department of Computer Engineering, Kyung Hee University, 1732 Deogyeong-daero, Seochon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea. johnhuh@khu.ac.kr.
Eui-Nam
EN
Huh
D000465:Algorithms; D003195:Computer Communication Networks / Q000295:instrumentation* / Q000592:standards; D017076:Computer-Aided Design; D004867:Equipment Design; D019544:Equipment Failure Analysis; D016247:Information Storage and Retrieval / Q000379:methods* / Q000592:standards; D058996:Quality Improvement; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D059015:Wireless Technology / Q000295:instrumentation* / Q000592:standards