Adaptive epidemic dissemination as a finite-horizon optimal stopping problem

Kontos, T., Anagnostopoulos, C. , Zervas, E. and Hadjiefthymiades, S. (2019) Adaptive epidemic dissemination as a finite-horizon optimal stopping problem. Wireless Networks, 25(5), pp. 2315-2332. (doi: 10.1007/s11276-018-1660-0)

Abstract

Wireless ad hoc networks are characterized by their limited capabilities and their routine deployment in unfavorable environments. This creates the strong requirement to regulate energy expenditure. We present a scheme to regulate energy cost through optimized transmission scheduling in a noisy epidemic dissemination environment. Building on the intrinsically cross-layer nature of the adaptive epidemic dissemination process, we strive to deliver an optimized mechanism, where energy cost is regulated without compromising the network infection. Improvement of data freshness and applicability in routing are also investigated. Extensive simulations are used to support our proposal.

• Item Type: Articles
• Additional Information: This work has received funding from the European Union's Horizon 2020 Framework Programme for Research and Innovation under the Grant Agreement No 645220, project RAWFIE (Road-, Air- and Water- based Future Internet Experimentation)
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Anagnostopoulos, Dr Christos
• Authors: Kontos, T., Anagnostopoulos, C., Zervas, E., and Hadjiefthymiades, S.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Wireless Networks
• Publisher: Springer
• ISSN: 1022-0038
• ISSN (Online): 1572-8196
• Published Online: 05 February 2018
• Copyright Holders: Copyright © 2018 Springer Science+Business Media, LLC, part of Springer Nature
• First Published: First published in Wireless Networks 25:2315–2332
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher