ANN based link stability estimation model and enhanced routing protocol for MANETs이동적응망을 위한 ANN 기반의 경로 안정성 예측 모델과 개선된 경로 설정 알고리즘

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Link stability, defined in terms of a link life, is an important information in order to select stable links for route establishment in dynamic network topology. By using link stability as a metric and biasing routing protocol to choose stable link we can reduce computational overhead on the nodes involved and route control overhead on the network. The network throughput and QoS performance of the network can also be improved. In this paper, we propose Artificial Neural Network based link stability estimation model for MANETs. The model estimates link stability considering signal strength, signal strength variation with respect to time and link lifetime distribution. The estimation of the model is shown to be superior to that of other link selection methods. The performance of link stability estimation model is further evaluated by incorporating it with AODV routing protocol. The modified AODV routing protocol is termed as ALS-AODV. The performance of ALS-AODV is evaluated in terms of network throughput, routing overhead, average delay and average hop count. The simulation results show that ALS-AODV is capable in reducing routing overhead and increasing network throughput.
Advisors
Lee, Hwang-Sooresearcher이황수researcher
Description
한국과학기술원 : 전기및전자공학전공,
Publisher
한국과학기술원
Issue Date
2005
Identifier
249575/325007  / 020034333
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전기및전자공학전공, 2005.8, [ viii, 77 p. ]

Keywords

Link Stability; Artificial Neural Network; Ad Hoc Network; Routing Protocol; 경로설정 알고리즘; 경로 안정성; 신경망; 이동적응망

URI
http://hdl.handle.net/10203/37921
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=249575&flag=dissertation
Appears in Collection
EE-Theses_Master(석사논문)
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