Accéder directement au contenu Accéder directement à la navigation
Nouvelle interface
Article dans une revue

Sequential Decision Algorithms for Measurement-Based Impromptu Deployment of a Wireless Relay Network along a Line

Abstract : We are motivated by the need, in some applications, for impromptu or as-you-go deployment of wireless sensor networks. A person walks along a line, starting from a sink node (e.g., a base-station), and proceeds towards a source node (e.g., a sensor) which is at an a priori unknown location. At equally spaced locations, he makes link quality measurements to the previous relay, and deploys relays at some of these locations, with the aim to connect the source to the sink by a multihop wireless path. In this paper, we consider two approaches for impromptu deployment: (i) the deployment agent can only move forward (which we call a pure as-you-go approach), and (ii) the deployment agent can make measurements over several consecutive steps before selecting a placement location among them (the explore-forward approach). We consider a very light traffic regime, and formulate the problem as a Markov decision process, where the trade-off is among the power used by the nodes, the outage probabilities in the links, and the number of relays placed per unit distance. We obtain the structures of the optimal policies for the pure as-you-go approach as well as for the explore-forward approach. We also consider natural heuristic algorithms, for comparison. Numerical examples show that the explore-forward approach significantly outperforms the pure as-you-go approach in terms of network cost. Next, we propose two learning algorithms for the explore-forward approach, based on Stochastic Approximation, which asymptotically converge to the set of optimal policies, without using any knowledge of the radio propagation model. We demonstrate numerically that the learning algorithms can converge (as deployment progresses) to the set of optimal policies reasonably fast and, hence, can be practical model-free algorithms for deployment over large regions. Finally, we demonstrate the end-to-end traffic carrying capability of such networks via field deployment.
Liste complète des métadonnées

Littérature citée [33 références]  Voir  Masquer  Télécharger

https://hal.telecom-paris.fr/hal-02287231
Contributeur : TelecomParis HAL Connectez-vous pour contacter le contributeur
Soumis le : vendredi 21 février 2020 - 18:06:51
Dernière modification le : mardi 19 octobre 2021 - 11:16:08

Fichier

07330048.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Arpan Chattopadhyay, Marceau Coupechoux, Anurag Kumar. Sequential Decision Algorithms for Measurement-Based Impromptu Deployment of a Wireless Relay Network along a Line. IEEE Transactions on Networking, 2015, 24 (5), pp.2954-2968. ⟨10.1109/TNET.2015.2496721⟩. ⟨hal-02287231⟩

Partager

Métriques

Consultations de la notice

24

Téléchargements de fichiers

107