Grid Structure-Based Mobility Support Scheme for Sink Groups in Wireless Sensor Networks
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Communications for mobile sink groups such as rescue teams or platoons bring about a new challenging issue for handling group mobility in wireless sensor networks. Recently, a group region-based approach has been proposed to send data to a mobile sink group. However, it uses excessive flooding for 3 steps (group region discovery, region information notification, and data dissemination) to support mobile sink group. Thus, it causes high energy consumption and data delivery failure. Moreover, its per-sink mobility supporting scheme makes energy consumption and data delivery failure more serious. Thus, this paper proposes an Energy-efficient and Reliable Mobile Group communication protocol (ERMG) to support a mobile sink group, which exploits a virtual grid structure. For the group region discover and notification and the data dissemination, ERMG uses communications with only cell heads of grid cells that manages group sinks. ERMG also uses a per-grid based scheme to support sink mobility. Simulation results show that ERMG has 30% less energy consumption and 6% more desired delivery deadline success ratio than the existing protocols.
Abstract
Communications for mobile sink groups such as rescue teams or platoons bring about a new challenging issue for handling group mobility in wireless sensor networks. Recently, a group region-based approach has been proposed to send data to a mobile sink group. However, it uses excessive flooding for 3 steps (group region discovery, region information notification, and data dissemination) to support mobile sink group. Thus, it causes high energy consumption and data delivery failure. Moreover, its per-sink mobility supporting scheme makes energy consumption and data delivery failure more serious. Thus, this paper proposes an Energy-efficient and Reliable Mobile Group communication protocol (ERMG) to support a mobile sink group, which exploits a virtual grid structure. For the group region discover and notification and the data dissemination, ERMG uses communications with only cell heads of grid cells that manages group sinks. ERMG also uses a per-grid based scheme to support sink mobility. Simulation results show that ERMG has 30% less energy consumption and 6% more desired delivery deadline success ratio than the existing protocols.
참고문헌 (13)
- I.F. Akyildiz, "A survey on sensor networks", IEEE Communications Magazine, 40, pp.102~114 (2002)
- Mohapatra, C. Gui, "Group Communications in Mobile Ad Hoc Networks", IEEE Computer, 37(2), pp.52~59 (2004)
- X. Hong, "A Group Mobility Model for Ad Hoc Wireless Networks", Proceedings of ACM MSWiM, pp.53~60 (1999)
- S. Park, "Mobile Geocasting to Support Mobile Sink Groups in Wireless Sensor Networks", IEEE Communications Letters, 14(10), pp.939~941 (2010)
- H. Mo, "Pipe-Based Energy Efficient Data Dissemination Scheme for Mobile Sink Groups on WSNs", Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), pp.1~6 (2011)
- E. B. Hamida, "Strategies for Data Dissemination to Mobile Sinks in Wireless Sensor Networks", IEEE Wireless Communications, 15(9), pp.31~37 (2008)
- A. Boukerche, "Localization systems for wireless sensor networks", IEEE Wireless Communications, 14(6), pp.1536~1248 (2007)
- B. Karp, "GPSR: Greedy Perimeter Stateless Routing for Wireless Networks", Proceedings of ACM international conference on Mobile computing and networking (MOBICOM), pp.243~254 (2000)
- S. Das, "Performance Comparison of Scalable Location Services for Geographic Ad Hoc Routing", Proceedings of IEEE INFOCOM, pp.1228~1239 (2005)
- "Qualnet"[URL]
- J.Hill, "Mica:a wireless platform for deeply embedded networks", IEEE Micro, 22(6), pp.12~24 (2002)
- G. Jayakumar, "Reference Point Group Mobility and Random Waypoint Models in Performance Evaluation of MANET Routing Protocols", Journal of Computer Systems, Networks, and Communications, 2008
- Y. Yim, "andling sink group mobility in wireless sensor networks", Proceedings of 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp.495~498 (2016)