Considering the environment's characteristics in wireless networks simulations: Case of the simulator NS2 and the WSN

被引：0
作者：
Mouaffak A.E. [1 ]
Alaoui A.E.B.E. [1 ]
机构：
[1] Computer Networks and Systems Laboratory, Faculty of Sciences, Moulay Ismaïl University, Meknes
来源：
International Journal of Information and Communication Technology | 2019年 / 14卷 / 04期
关键词：
Deployment environment; Network simulator; NS-2; Radio propagation model; Simulation; Wireless network; Wireless sensor network; WSN;
D O I：
10.1504/IJICT.2019.101862
中图分类号：
学科分类号：
摘要：
Recently, the wireless networks, particularly the wireless sensor networks (WSN) occupy an important place in several application areas due to the progress in microelectronics and wireless communications domains. Thus, a set of researches had addressed this issue in order to broaden the possibilities offered by these networks and circumvent the encountered problems. The test of any new solution is an essential phase to validate its performances. This phase is done in network simulators; which NS is the most used. The impact of the physical layer and the radio signal propagation environment criteria on the simulations results is indisputable. In this context, and after presenting and classifying the radio propagation models, we study in detail the implemented models in NS-2. The focus is on the ability of these models to consider the characteristics of the wireless networks deployment environment (e.g., nature, position and mobility of the obstacles). And to consider the specificities of WSN, the effect of other parameters (e.g., antenna height) will be discussed. Copyright © 2019 Inderscience Enterprises Ltd.
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页码：427 / 438
页数：11
相关论文
共 28 条
  • [1] Abdallah R., Zatni A., The impact of propagation environment and traffic load on the performance of routing protocols in ad hoc networks, International Journal of Distributed and Parallel Systems (IJDPS, 3, 1, (2012)
  • [2] Abderrezak R., Et al., Wireless network simulators relevance compared to a real testbed in outdoor and indoor environments, International Journal of Autonomous and Adaptive Communications Systems, 5, 1, pp. 88-101, (2012)
  • [3] Aissani M., Bouznad S., Fareb A., Laidoui M.A., EA-SPEED: Energy-Aware real-Time routing protocol for wireless sensor networks, Int. J. Information and Communication Technology, 5, 1, pp. 22-44, (2013)
  • [4] Amgoth T., Jana P.K., Energy efficient and load balanced clustering algorithms for wireless sensor networks, Int. J. Information and Communication Technology, 6, 3-4, pp. 272-291, (2012)
  • [5] Arne S., Wenig M., The effect of the radio wave propagation model in mobile ad hoc networks, Proceedings of the 9th ACM International Symposium on Modelling Analysis and Simulation of Wireless and Mobile Systems, pp. 61-67, (2006)
  • [6] Athanasiadou G., Et al., A microcellular ray-Tracing propagation model and evaluation of its narrow-band and wide-band predictions, Selected Areas in Communications, 18, 3, pp. 322-335, (2000)
  • [7] Dricot J., Et al., Impact of the physical layer on the performance of indoor wireless networks, Proceedings of the International Conference on Software, Telecommunications and Computer Networks, (2003)
  • [8] Edwards R., Durkin J., Computer prediction of service areas for vhf mobile radio networks, Proceedings of the Institution of Electrical Engineers, 116, 9, pp. 1493-1500, (1969)
  • [9] Filiposka S., Trajanov D., Terrain-Aware three-dimensional radio-propagation model extension for NS-2, Simulation, 87, 1-2, pp. 7-23, (2011)
  • [10] Filiposka S., Mishkovski I., Trajkoska B.T., Terrain details effect on connectivity in ad hoc wireless networks, Communications and Network, 5, 2, (2013)
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