Investigating the Effect of Noise-Level on Probabilistic Broadcast in Noisy MANETs
International Journal of Computer Networks & Communications
Wireless communication channels in mobile ad hoc network (MANETs) suffer from high packet-loss due to presence of noise. This paper presents a detail description of a simulation model that can be used to evaluate the performance of probabilistic broadcast for flooding in noisy environment. In this model, the noise-level is represented by a generic name, probability of reception (p c ) (0≤ p c ≤1), where p c =1 for noiseless and p c <1 for noisy. The effect of noise is determined randomly by
... ned randomly by generating a random number (0≤<1); if ≤p c means the packet is successfully delivered to the receiving node, otherwise, unsuccessful delivery occurs. The proposed model is implemented on a MANET simulator, namely, MANSim. In order to investigate the effect of noise on the performance of probabilistic broadcast in noisy MANETs, four scenarios were simulated. The main conclusions of these scenarios are: The performance of probabilistic broadcast decreases with decreasing p c . The percentage relative change in performance decreases with increasing nodes retransmission probability, number of nodes, and nodes radio transmission range. The various nodes speed has insignificant effect on the performance. Networks and Communications (WNCC) at the School of Engineering, University of Brunel (UK). He has published many papers in different fields of science and engineering in numerous leading scholarly and practitioner journals, and presented at leading world-level scholarly conferences. He recently published two chapters in two prestigious books in IT and Simulations. He is also a reviewer for a number of books, and currently, he is engaged in edition a book on Simulation in Computer Network Design and Modeling: Use and Analysis. His research interests include computer networks design and architecture, routing protocols optimizations, parallel and distributed computing, cryptography and network security, data compression, software and web engineering.