Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Outdoor experimental comparison of four ad hoc routing algorithms
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
The effect of the radio wave propagation model in mobile ad hoc networks
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
AUSWIRELESS '07 Proceedings of the The 2nd International Conference on Wireless Broadband and Ultra Wideband Communications
Stationary Distributions for the Random Waypoint Mobility Model
IEEE Transactions on Mobile Computing
MANETs: performance analysis and management
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
An empirically based path loss model for wireless channels in suburban environments
IEEE Journal on Selected Areas in Communications
Topology control using distributed power management algorithm for mobile ad hoc networks
SoftCOM'09 Proceedings of the 17th international conference on Software, Telecommunications and Computer Networks
Distributed power management algorithm for mobile ad hoc networks
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
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In this paper, we analyse the impact of physical propagation model on the performance of ad-hoc network routing protocols. The impact of different propagation environments on a typical routing protocol such as Optimised Link-State Routing (OLSR) is presented through simulations. A log-distance path loss model, log-normal shadowing model and rayleigh fading model is used to model the dynamic physical channel for two different environments: open _environment characterised by open area, and city _environment characterised by urban environment. We will show that network throughput degrades; average delay and routing packet overhead significantly increase in a higher attenuating environment such as the city_environment.