%0 Book Section
%T V2V Influence on M2M and H2H Traffics During Emergency Scenarios
%+ Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC)
%+ Lab-STICC_ENSTAB_CACS_COM
%+ International University  of Beirut (BIU)
%A El Fawal, Ahmad Hani
%A Mansour, Ali
%A Najem, Mohamad
%@ 9781522590194
%B Global Advancements in Connected and Intelligent Mobility: Emerging Research and Opportunities
%I IGI Global
%P 93-134
%8 2019-07
%D 2019
%R 10.4018/978-1-5225-9019-4.ch003
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]
%Z Computer Science [cs]/Signal and Image ProcessingBook sections
%X 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.
%G English
%L hal-02304760
%U https://hal-ensta-bretagne.archives-ouvertes.fr/hal-02304760
%~ UNIV-BREST
%~ INSTITUT-TELECOM
%~ ENSTA-BRETAGNE
%~ CNRS
%~ UNIV-UBS
%~ ENSTA-BRETAGNE-STIC
%~ ENIB
%~ LAB-STICC
%~ INSTITUTS-TELECOM
%~ SILECS
%~ FIT