Matching Services with Users in Opportunistic Network Environments

Conference item


Smith, Anthony, Berry, Stuart and Hill, Richard 2014. Matching Services with Users in Opportunistic Network Environments. https://doi.org/10.1109/CISIS.2014.5
AuthorsSmith, Anthony, Berry, Stuart and Hill, Richard
Abstract

Opportunistic Networks are a specific type of wireless ad hoc network where there is an absence of a continuous end-to-end path. The proliferation of mobile devices with Wi-Fi capability creates opportunities to forward packets by utilizing nodes as they present themselves. Such a dynamic networking environment enables services to be advertised by propagating from device to device, in order that all users in an area receive them. However, excessive propagation of service advertisements consumes energy from mobile devices, whilst also degrading the users' experience if they receive adverts for services that are misaligned with their personal interests. In this article we propose an architecture for a protocol and an algorithm that facilitates the matching of relevant service adverts with interested recipients in an Opportunistic Networking environment, whilst serving to minimize energy consumption.

KeywordsAd hoc networks; Energy consumption; Routing protocols
Year2014
Digital Object Identifier (DOI)https://doi.org/10.1109/CISIS.2014.5
Web address (URL)http://hdl.handle.net/10545/583369
hdl:10545/583369
ISBN9781479943258
File
File Access Level
Open
Publication datesJul 2014
Publication process dates
Deposited08 Dec 2015, 08:55
ContributorsUniversity of Derby
Permalink -

https://repository.derby.ac.uk/item/9510q/matching-services-with-users-in-opportunistic-network-environments

Download files


File
license.txt
File access level: Open

  • 4
    total views
  • 0
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

The design and optimisation of surround sound decoders using heuristic methods
Wiggins, Bruce, Berry, Stuart, Lowndes, Val and Paterson-Stephens, Iain 2003. The design and optimisation of surround sound decoders using heuristic methods.
Traffic assignment: on the interplay between optimization and equilibrium problems
Bagdasar, Ovidiu, Popovici, Nicolae and Berry, Stuart 2020. Traffic assignment: on the interplay between optimization and equilibrium problems. Optimization. https://doi.org/10.1080/02331934.2019.1711082
Traffic assignment: methods and simulations for an alternative formulation of the fixed demand problem
Bagdasar, Ovidiu, Berry, Stuart, O’Neill, Sam, Popovici, Nicolae and Raja, Ramachandran 2018. Traffic assignment: methods and simulations for an alternative formulation of the fixed demand problem. Mathematics and Computers in Simulation. https://doi.org/10.1016/j.matcom.2018.08.004
Case studies: Using heuristics.
Lowndes, Val, Bagdasar, Ovidiu and Berry, Stuart 2017. Case studies: Using heuristics. in: Springer.
Further use of heuristic methods.
Lowndes, Val, Berry, Stuart, Parkes, Chris, Bagdasar, Ovidiu and Popovici, Nicolae 2017. Further use of heuristic methods. in: Springer.
Model building
Lowdnes, Val, Berry, Stuart, Trovati, Marcello and Whitbrook, Amanda 2017. Model building. in: Springer.
Green transport planning paradoxes
Berry, Stuart and Parkes, Chris 2016. Green transport planning paradoxes. Mathematics Today.
Efficient matching of services with users in opportunistic network environments
Smith, Anthony, Berry, Stuart and Hill, Richard 2015. Efficient matching of services with users in opportunistic network environments. International Journal of Adaptive and Innovative Systems. https://doi.org/10.1504/IJAIS.2015.072144
Production planning and control in small manufacturing firms
Berry, Stuart 1999. Production planning and control in small manufacturing firms. Thesis
Evaluation of a framework for measuring efficency in opportunistic ad-hoc networks
Smith, Anthony and Berry, Stuart 2012. Evaluation of a framework for measuring efficency in opportunistic ad-hoc networks. Proceedings of the 3rd International Conference on Emerging Intelligent Data and Web Technologies (EIDWT). https://doi.org/10.1109/EIDWT.2012.45