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Jean-Marie Bonnin

Researcher at École nationale supérieure des télécommunications de Bretagne

Publications -  161
Citations -  3517

Jean-Marie Bonnin is an academic researcher from École nationale supérieure des télécommunications de Bretagne. The author has contributed to research in topics: Quality of service & Wireless network. The author has an hindex of 25, co-authored 159 publications receiving 3289 citations. Previous affiliations of Jean-Marie Bonnin include Orange S.A. & Institut Mines-Télécom.

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Journal ArticleDOI

Wireless sensor networks: a survey on recent developments and potential synergies

TL;DR: This survey gives an overview of wireless sensor networks and their application domains including the challenges that should be addressed in order to push the technology further and identifies several open research issues that need to be investigated in future.
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Cognitive radio for M2M and Internet of Things: A survey

TL;DR: This paper surveys novel approaches and discusses research challenges related to the use of cognitive radio technology for Internet of things, and intends to help new researchers entering the domain of CR and IoT by providing a comprehensive survey on recent advances.
Journal ArticleDOI

Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges

TL;DR: It is reviewed how CR technologies such as dynamic spectrum access, adaptive software-defined radios, and cooperative communications will enhance vehicular communications and, hence, present the potential of transforming vehicle communication in terms of efficiency and safety.
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Routing protocols in Vehicular Delay Tolerant Networks: A comprehensive survey

TL;DR: This article presents a comprehensive survey of routing protocols proposed for routing in Vehicular Delay Tolerant Networks (VDTN) in vehicular environment, focusing on a special type of VANET, where the vehicular traffic is sparse and direct end-to-end paths between communicating parties do not always exist.
Proceedings ArticleDOI

Quality of Experience Measurements for Video Streaming over Wireless Networks

TL;DR: This paper presents a hybrid approach called Pseudo Subjective Quality Assessment (PSQA) that keeps advantages of both subjective and objective schemes while minimizing their drawbacks, and demonstrates that this approach provides good estimations comparing to the well-known objective metric called Peak Signal to Noise Ratio (PSNR).