Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/476453
Title: Dynamic discovery algorithm for AODV routing protocol in Mobile Ad-Hoc Network
Authors: Haider Kamal Jasim Alani (P74171)
Supervisor: Raed Ali Alsaqour, Assoc. Prof. Dr.
Keywords: Algorithm
Mobile network
Routing
Protocol
Universiti Kebangsaan Malaysia -- Dissertations
Issue Date: 6-Sep-2016
Description: The Mobile Ad Hoc Network (MANET) is a wireless infrastructure-less network, containing a mobile node device that connects together without utilizing any base station. In a MANET, the topology changes rapidly and frequently since the mobile nodes move randomly on the network. This leads to route instability and packet transmitting especially for the nodes moving at high speeds and different directions. In addition, the rapidly dynamic topology yields to flooding of the routing control packets in order to maintain the network topology and discover the route between the source and destination. MANET has several routing protocols to transmit packets among the nodes through the intermediate nodes. The Ad-hoc On-Demand Distance Vector (AODV) routing protocol is one of the most popular routing protocol used for routing packets in MANET. This research proposes a modified algorithm to the AODV protocol. The algorithm is called AODV Velocity and Dynamic (AODV-VD). The algorithm utilizes the nodes’ velocity vector and dynamic density probabilistic to discover the route between the nodes. The AODV-VD aims to limit the unnecessary broadcasting of route control packets and selecting the reliable intermediate nodes between the source and destination. We compared the AODV-VD algorithm with AODV and the benchmark (AVAP-AODV) protocols. The simulation result confirms the superiority of our proposed algorithm which achieved an increase of 51% in the average throughput. Also, decreases were achieved in terms of average end-to-end delay of 60%, packet overhead ratio of 53%, average collision rate of 52% and link stability of 57%.,Certification of Master's/Doctoral Thesis" is not available
Pages: 87
Publisher: UKM, Bangi
Appears in Collections:Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat

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