Stochastic Scheduling for Underwater Sensor Networks - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2011

Stochastic Scheduling for Underwater Sensor Networks

Dimitri Marinakis
  • Fonction : Auteur
  • PersonId : 1015759
Kui Wu
  • Fonction : Auteur
  • PersonId : 1015760
Sue Whitesides
  • Fonction : Auteur
  • PersonId : 868787

Résumé

The context of underwater sensor networks (UWSNs) presents special challenges for data transmission. For that context, we examine the merit of using a simple, stochastic transmission strategy based on the ALOHA protocol. The strategy uses a stochastic scheduling approach in which time is slotted, and each network node broadcasts according to some probability during each time slot. We present a closed-form solution to an objective function that guides the assignment of the broadcast probabilities with respect to overall network reliability. We propose an easily distributed heuristic based on local network density and evaluate our approach using numerical simulations. The evaluation results show that even without using explicit control signalling, our simple stochastic scheduling method performs well for data transmission in UWSNs.
Fichier principal
Vignette du fichier
978-3-642-20757-0_11_Chapter.pdf (169.01 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01583414 , version 1 (07-09-2017)

Licence

Identifiants

Citer

Dimitri Marinakis, Kui Wu, Sue Whitesides. Stochastic Scheduling for Underwater Sensor Networks. 10th IFIP Networking Conference (NETWORKING), May 2011, Valencia, Spain. pp.134-146, ⟨10.1007/978-3-642-20757-0_11⟩. ⟨hal-01583414⟩
125 Consultations
73 Téléchargements

Altmetric

Partager

More