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[해외논문] Agent-Based Multipath Management for Supporting Sink Mobility in Wireless Sensor Networks 원문보기

Wireless communications & mobile computing, v.2020, 2020년, pp.1 - 11  

Kim, Cheonyong (Advanced KREONET Center, Korea Institute of Science and Technology Information (KISTI), Daejeon 34141, Republic of Korea) ,  Cho, Hyunchong (Research Institute for Computer and Information Communication, Chungbuk National University, Cheongju 28644, Republic of Korea) ,  Jung, Kwansoo (Department of Fintech, Daejeon University, Daejeon 34520, Republic of Korea) ,  Yim, Yongbin (Network Research Division, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Republic of Korea) ,  Yang, Taehun (Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea) ,  Kim, Sang-Ha (Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea) ,  Kim, Sangdae (Division of Computer Science and Engineering, Kongju National University, Cheonan Chungnam 31080, Republic of Korea)

Abstract AI-Helper 아이콘AI-Helper

In wireless sensor networks, sink mobility support is one of the essential functionalities in many applications. With continuous advancement, future applications will require not only sink mobility support but also high-performance data delivery service. Multipath routing is one of the promising tec...

참고문헌 (18)

  1. Yu, Sheng, Zhang, Baoxian, Li, Cheng, Mouftah, Hussein T.. Routing protocols for wireless sensor networks with mobile sinks: a survey. IEEE communications magazine, vol.52, no.7, 150-157.

  2. Hamida, Elyes, Chelius, Guillaume. Strategies for data dissemination to mobile sinks in wireless sensor networks. IEEE wireless communications, vol.15, no.6, 31-37.

  3. Stankovic, John A.. Research Directions for the Internet of Things. IEEE Internet of things journal : a joint publication of the IEEE Sensors Council, the IEEE Communications Society, the IEEE Computer Society, the IEEE Signal Processing Society, vol.1, no.1, 3-9.

  4. Zorzi, Michele, Gluhak, Alexander, Lange, Sebastian, Bassi, Alessandro. From today's INTRAnet of things to a future INTERnet of things: a wireless- and mobility-related view. IEEE wireless communications, vol.17, no.6, 44-51.

  5. Radi, Marjan, Dezfouli, Behnam, Bakar, Kamalrulnizam Abu, Lee, Malrey. Multipath Routing in Wireless Sensor Networks: Survey and Research Challenges. Sensors, vol.12, no.1, 650-685.

  6. Ben-Othman, J., Yahya, B.. Energy efficient and QoS based routing protocol for wireless sensor networks. Journal of parallel and distributed computing, vol.70, no.8, 849-857.

  7. Lou, Wenjing, Kwon, Younggoo. H-SPREAD: a hybrid multipath scheme for secure and reliable data collection in wireless sensor networks. IEEE transactions on vehicular technology, vol.55, no.4, 1320-1330.

  8. Wang, Guojun, Wang, Tian, Jia, Weijia, Guo, Minyi, Li, Jie. Adaptive location updates for mobile sinks in wireless sensor networks. The Journal of supercomputing, vol.47, no.2, 127-145.

  9. Mohanty, Prabhudutta, Kabat, Manas Ranjan. Energy Efficient Reliable Multi-path Data Transmission in WSN for Healthcare Application. International journal of wireless information networks, vol.23, no.2, 162-172.

  10. Hasan, Mohammed Zaki, Al-Rizzo, Hussain, Al-Turjman, Fadi. A Survey on Multipath Routing Protocols for QoS Assurances in Real-Time Wireless Multimedia Sensor Networks. IEEE Communications surveys and tutorials, vol.19, no.3, 1424-1456.

  11. Jaiswal, Kavita, Anand, Veena. EOMR: An Energy-Efficient Optimal Multi-path Routing Protocol to Improve QoS in Wireless Sensor Network for IoT Applications. Wireless personal communications, vol.111, no.4, 2493-2515.

  12. Ye, Fan, Zhong, Gary, Lu, Songwu, Zhang, Lixia. GRAdient Broadcast: A Robust Data Delivery Protocol for Large Scale Sensor Networks. Wireless networks, vol.11, no.3, 285-298.

  13. Luo, Haiyun, Ye, Fan, Cheng, Jerry, Lu, Songwu, Zhang, Lixia. TTDD: Two-Tier Data Dissemination in Large-Scale Wireless Sensor Networks. Wireless networks, vol.11, no.1, 161-175.

  14. Yu, F, Park, S, Lee, E, Kim, S.-H. Elastic routing: a novel geographic routing for mobile sinks in wireless sensor networks. IET communications, vol.4, no.6, 716-727.

  15. Jain, Shubhra, Pattanaik, K.K., Shukla, Anupam. QWRP: Query-driven virtual wheel based routing protocol for wireless sensor networks with mobile sink. Journal of network and computer applications, vol.147, 102430-.

  16. Wang, Jin, Cao, Jiayi, Ji, Sai, Park, Jong Hyuk. Energy-efficient cluster-based dynamic routes adjustment approach for wireless sensor networks with mobile sinks. The Journal of supercomputing, vol.73, no.7, 3277-3290.

  17. Aswale, Shailendra, Ghorpade, Vijay Ram. Geographic Multipath Routing based on Triangle Link Quality Metric with Minimum Inter-path Interference for Wireless Multimedia Sensor Networks. Journal of King Saud University. Computer and information sciences, vol.33, no.1, 33-44.

  18. Bettstetter, C., Resta, G., Santi, P.. The node distribution of the random waypoint mobility model for wireless ad hoc networks. IEEE transactions on mobile computing, vol.2, no.3, 257-269.

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