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      대규모 센서네트워크에서의 트리라우팅 성능평가 = Performance Evaluation of Tree Routing in Large-Scale Wireless Sensor Networks

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      https://www.riss.kr/link?id=A108565996

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      다국어 초록 (Multilingual Abstract)

      Tree routing is one of appropriate routing schemes in wireless sensor network because the complexity of this approach is relatively low. But, congestion at a specific node may happen because a parent node toward a sink node is usually selected in one hop way, specially where large number of node are deployed. As feasible solution for this problem, multiple paths and sinks schemes can be applied. However, the performance of these schemes are not proved and analyzed yet. In this paper, we conduct diverse simulaton scenarios performance evaluation for these cases to identify the improvement and analyze the impact of schemes. The performance is measured in the aspects of packet transmission rate, throughput, and end-to-end delay as a function of amount of network traffic.
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      Tree routing is one of appropriate routing schemes in wireless sensor network because the complexity of this approach is relatively low. But, congestion at a specific node may happen because a parent node toward a sink node is usually selected in one ...

      Tree routing is one of appropriate routing schemes in wireless sensor network because the complexity of this approach is relatively low. But, congestion at a specific node may happen because a parent node toward a sink node is usually selected in one hop way, specially where large number of node are deployed. As feasible solution for this problem, multiple paths and sinks schemes can be applied. However, the performance of these schemes are not proved and analyzed yet. In this paper, we conduct diverse simulaton scenarios performance evaluation for these cases to identify the improvement and analyze the impact of schemes. The performance is measured in the aspects of packet transmission rate, throughput, and end-to-end delay as a function of amount of network traffic.

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      참고문헌 (Reference)

      1 김태림, "무선 센서 네트워크의 수명 연장을 위한 에너지와 메모리의 균형 있는 소모 방법" 대한임베디드공학회 9 (9): 361-367, 2014

      2 김태림 ; 김범수 ; 박화규, "멀티홉 센서 네트워크에서 에너지 상황을 고려한 시스템 수명 최대화 알고리즘" 대한임베디드공학회 8 (8): 339-345, 2013

      3 N. Mittal, "Tree-based Threshold-sensitive Energy-efficient Routing Approach for Wireless Sensor Networks" 108 (108): 473-492, 2019

      4 A. Woo, "Taming the Underlying Challenges of Reliable Multihop Routing in Sensor Networks" 14-27, 2003

      5 G. Batla, "Security and Privacy Issues in IoT Devices and Sensor Networks" ACADEMIC PRESS 87-103, 2021

      6 N. Baccour, "Reliable Link Quality Estimation in Low-power Wireless Networks and its Impact on Tree-routing" 27 : 1-25, 2015

      7 K. Singh, "Fuzzy Link Cost Estimation Based Adaptive Tree Algorithm for Routing Optimization in Wireless Sensor Networks Using Reinforcement Learning" 8 (8): 2018

      8 B. S. Kim, "An Enhanced Tree Routing Through Multi-criteria Decision Making over Wireless Sensor Networks" 2022

      9 B. Kim, "An Enhanced Tree Routing Based on Reinforcement Learning in Wireless Sensor Networks" 2022

      10 D. T. Delaney, "A Stable Routing Framework for Tree-based Routing Structures in Wsns" 14 (14): 3533-3547, 2014

      1 김태림, "무선 센서 네트워크의 수명 연장을 위한 에너지와 메모리의 균형 있는 소모 방법" 대한임베디드공학회 9 (9): 361-367, 2014

      2 김태림 ; 김범수 ; 박화규, "멀티홉 센서 네트워크에서 에너지 상황을 고려한 시스템 수명 최대화 알고리즘" 대한임베디드공학회 8 (8): 339-345, 2013

      3 N. Mittal, "Tree-based Threshold-sensitive Energy-efficient Routing Approach for Wireless Sensor Networks" 108 (108): 473-492, 2019

      4 A. Woo, "Taming the Underlying Challenges of Reliable Multihop Routing in Sensor Networks" 14-27, 2003

      5 G. Batla, "Security and Privacy Issues in IoT Devices and Sensor Networks" ACADEMIC PRESS 87-103, 2021

      6 N. Baccour, "Reliable Link Quality Estimation in Low-power Wireless Networks and its Impact on Tree-routing" 27 : 1-25, 2015

      7 K. Singh, "Fuzzy Link Cost Estimation Based Adaptive Tree Algorithm for Routing Optimization in Wireless Sensor Networks Using Reinforcement Learning" 8 (8): 2018

      8 B. S. Kim, "An Enhanced Tree Routing Through Multi-criteria Decision Making over Wireless Sensor Networks" 2022

      9 B. Kim, "An Enhanced Tree Routing Based on Reinforcement Learning in Wireless Sensor Networks" 2022

      10 D. T. Delaney, "A Stable Routing Framework for Tree-based Routing Structures in Wsns" 14 (14): 3533-3547, 2014

      11 Q. He, "A Robust Self-organizing Tree-based Routing Protocol for Wireless Sensor Networks"

      12 P. T. Agarkar, "A Comprehensive Survey on Routing Schemes and Challenges in Wireless Sensor Networks(wsn)" 7 (7): 2020

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