Collision Avoidance on Shared Slots in a Wireless Slotted Network: Models and Simulations - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Collision Avoidance on Shared Slots in a Wireless Slotted Network: Models and Simulations

Résumé

In this paper we propose an analysis of a slotted based protocol designed for devices of the Internet of Thing (IoT). In contrast to other TDMA-based protocols this scheme uses a random technique to access shared slots which presents similarities with CSMA protocols. In practice the transmissions are scheduled in a given back-off window of slots whose duration allows the transmission of a packet and its acknowledgment. Therefore this protocol can be analyzed according to the methodology introduced by Bianchi for the IEEE 802.11 protocol even if the protocol studied differs in many aspects. The model we use is also particular because we succeed in obtaining a Markov model even if the scheme used to send a packet (in a node) may depend on the transmission of the previous packet. We distinguish two protocols; in the first one, at the initial stage or after a successful transmission, the packets are transmitted without any back-off, whereas in the second protocol each transmission is always preceded by the count down of a random back-off. Extensive simulations validate the models of both protocols and a comparative performance evaluation is carried out.
Fichier principal
Vignette du fichier
PEMWN2017.pdf (341.49 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01636646 , version 1 (16-11-2017)

Identifiants

  • HAL Id : hal-01636646 , version 1

Citer

Pascale Minet, Paul Mühlethaler, Ines Khoufi. Collision Avoidance on Shared Slots in a Wireless Slotted Network: Models and Simulations. PEMWN 2017 - 6th IFIP International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks, Nov 2017, Paris, France. ⟨hal-01636646⟩

Collections

INRIA INRIA2
67 Consultations
107 Téléchargements

Partager

Gmail Facebook X LinkedIn More