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Chapitre D'ouvrage Année : 2019

V2V Influence on M2M and H2H Traffics During Emergency Scenarios


This chapter envisions the challenges that will face the mobile operators such as sending vehicle-to-vehicle (V2V) payloads in form of synchronized storms, the fast saturation of the limited bandwidth of long-term evolution for machines (LTE-M) and narrow band-internet of things (NB-IoT) with the rise number of machine-to-machine (M2M) devices and V2V devices, V2V congestion overload problem in IoT environments specifically during disaster events. It extends a new solution proposed by the authors named Adaptive eNodeB (A-eNB) for both LTE-M and NB-IoT networks to deal with V2V excessive traffic. The A-eNB can solve gradually V2V overload problem, while keeping the human-to-human (H2H) traffic quality of service (QoS) not to be affected badly. It corroborates a new framework model proposed by the authors called coexistence analyzer and network architecture for long-term evolution (CANAL) to study the impact on V2V, M2M, and H2H and mutual influences, based on continuous-time Markov chain (CTMC) to simulate, analyze, and measure radio access strategies.
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Dates et versions

hal-02304760 , version 1 (03-10-2019)



Ahmad Hani El Fawal, Ali Mansour, Mohamad Najem. V2V Influence on M2M and H2H Traffics During Emergency Scenarios. Global Advancements in Connected and Intelligent Mobility: Emerging Research and Opportunities, IGI Global, pp.93-134, 2019, 9781522590194. ⟨10.4018/978-1-5225-9019-4.ch003⟩. ⟨hal-02304760⟩
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