Neighborhood-Based Route Discovery Protocols for Mobile Ad Hoc Networks

Author:

Alwidian Sanaa A.1,Ababneh Ismail M.2,Yassein Muneer O. Bani3

Affiliation:

1. Department of Computer Science and Applications, The Hashemite University, Zarqa, Jordan

2. Department of Computer Science, Al al-Bayt University, Mafraq, Jordan

3. Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan

Abstract

Network–wide broadcasting is used extensively in mobile ad hoc networks for route discovery and for disseminating data throughout the network. Flooding is a common approach to performing network-wide broadcasting. Although it is a simple mechanism that can achieve high delivery ratio, flooding consumes much of the communication bandwidth and causes serious packet redundancy, contention and collision. In this paper, the authors propose new broadcast schemes that reduce the overhead associated with flooding. In these schemes, a node selects a subset of its neighbors for forwarding the packet being broadcast to additional nodes. The selection process has for goal reducing the number of neighbors and maximizing the number of nodes that they can reach (i.e., forward the packet to). By applying this novel neighborhood-based broadcasting strategy, the authors have come up with routing protocols that have very low overhead. These protocols were implemented and simulated within the GloMoSim 2.03 network simulator. The simulation experiments show that our routing protocols can reduce the overhead for both low and high mobility substantially, as compared with the well-known and promising AODV routing protocol. In addition, they outperform AODV by increasing the delivery ratio and decreasing the end-to-end delays of data packets.

Publisher

IGI Global

Subject

Computer Networks and Communications

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Distributed Destination Search Routing for 5G and beyond Networks;Sensors;2022-01-08

2. An ED-Based Enhanced Energy Efficient Cross Layer Model for Mobile Wireless Sensor Network;National Academy Science Letters;2017-11-07

3. Radio Frequency Identification and Mobile Ad-Hoc Network;Handbook of Research on Recent Developments in Intelligent Communication Application;2017

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