A Stochastic Mobility Metric to Enhance QoS/QoE in Mobile Ad hoc Networks
Hind Ziani1, Nourddine Enneya2, Mohammed Kaicer3
1Hind Ziani*, Department of Informatics, Systems and Optimization Laboratory, Faculty of Sciences, University of Ibn Tofail, BP, Kenitra, Morocco.
2Nourddine Enneya,. Department of Informatics, Systems and Optimization Laboratory, Faculty of Sciences, University of Ibn To fail, BP, Kenitra, Morocco.
3Mohammed Kaicer, Department of Informatics, Systems and Optimization Laboratory, Faculty of Sciences, University of Ibn To fail, BP, Kenitra, Morocco.
Manuscript received on December 15, 2019. | Revised Manuscript received on December 20, 2019. | Manuscript published on January 10, 2020. | PP: 2392-2397 | Volume-9 Issue-3, January 2020. | Retrieval Number: C9046019320/2020©BEIESP | DOI: 10.35940/ijitee.C9046.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nowadays, wireless networks have become a far-reaching part in contemporary life. They allow people to be connected to the Internet anytime and anywhere. And yet, the continual enhancement and/or updating of the Quality of Service (QoS)/Quality of Experience (QoE) on such platforms, notably for sensitive transmission, remains a particularly challenging matter within the networking research community. Indeed, the free mobility of Mobile Nodes (MNs) (i.e. their real-time physical location change, and intra-network movement), renders network topology often subject to unpredictable fluctuations. In this vein, the paper herein aims to lay down the framework for a stochastic mobility measure, to be considered in the future, for the enhancement and management of QoS/QoE in MANETs. Thus, the main endeavor of this project shall focus on the behavior of the dynamic aspect of MANETs. In fact, it proposes a mobility metric which shall be well-suited to accounting for the complex scenario of Network Mobility. Experimental results demonstrate that there is no stability of relationship between MNs: each node may change its neighborhood and, by extension, the overall communication range it belongs to, through the detection of new link breakages and/or link additions. Otherwise stated: mobile nodes are naturally subject to a non-negligible pattern of Poisson distribution. With mobility being the defining characteristic of MANETs, the proposed metric shall be of considerable added value, insofar as its integration into routing protocols is sure to improve both objective and subjective quality returns.
Keywords: Ad hoc Networks, MANET Routing Protocols, QoE, QoS, Stochastic Modeling.
Scope of the Article: Mobile Adhoc Network