首页 | 本学科首页   官方微博 | 高级检索  
     


Performance evaluation of dynamic probabilistic broadcasting for flooding in mobile ad hoc networks
Authors:Abdalla M Hanashi  Aamir Siddique  Irfan Awan  Mike Woodward
Affiliation:1. University of Seville, Escuela Superior de Ingenieros. Avda. Camino de los Descubrimientos, s/n 41092, Sevilla (Spain);2. Institute of Computer Science, University of Münster, Einsteinstrasse 62, Münster (Germany)\n;1. Department of Computer Science and Engineering, Ahsanullah University of Science and Technology (AUST), Dhaka, Bangladesh;2. Department of Computer Science & Engineering (CSE), Bangladesh University of Engineering & Technology (BUET), Dhaka-1000, Bangladesh;3. Department of Computer Science, University of Calgary, 2500 University Drive, NW, Calgary, AB, T2N 1N4, Canada
Abstract:In mobile ad hoc networks (MANETs), flooding is a required message dissemination technique for network-wide broadcast. The conventional blind flooding algorithm causes broadcast storm problem, a high number of unnecessary packet rebroadcasts thus resulting in high contention and packet collisions. This paper proposes a new probabilistic approach that dynamically fine-tunes the rebroadcasting probability of a node for routing request packets (RREQs) according to the number of neighbour nodes. We evaluate the performance of the proposed approach for the ad hoc on demand distance vector (AODV) routing protocol and compared against the blind flooding, fixed probabilistic and adjusted probabilistic flooding L.M.M.M. Bani-Yassein, M. Ould-Khaoua et al., Performance analysis of adjusted probabilistic broadcasting in mobile ad hoc networks, International Journal of Wireless Information Networks 13(2) (2006) 127–140; M.B. Yassein, M.O. Khaoua et al., Improving route discovery in on-demand routing protocols using local topology information in MANETs, Proceedings of the ACM international workshop on Performance Monitoring, Measurement, and Evaluation of Heterogeneous Wireless and Wired Networks, Terromolinos, Spain, ACM Press, 2006, pp. 95–99.] approaches. The simulation results show that our proposed approach demonstrates better performance than blind flooding, fixed probabilistic and adjusted flooding approaches.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号