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A Game Theoretic Approach to Sensor Data Communications in an Opportunistic Network
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (Communication Research)
National ICT Australia (NICTA). (Mobile systems)
2015 (English)In: Proc. International Conference on Communications: ICC 2015, Piscataway, NJ: IEEE , 2015, 6306-6311 p.Conference paper (Refereed)
Abstract [en]

Opportunistic communication coupled with a sensing task enables the collection and spreading of sensory information in areas without global connectivity, providing useful information in challenging environments. In this paper, we consider an opportunistic sensor network where the mobility of users enables both the measurement and spreading of sensor data. We motivate user participation through a game theoretic approach, which is designed to ensure a fair and efficient exchange of sensor messages.The message exchange is modeled as a two-player game where sensor measurements are exchanged between nodes in a contrite tit-for-tat manner. The proposed game captures the nodes desire to limit energy consumption while at the same time obtaining messages containing useful information.We show that the best response in the game is a Pareto optimal subgame perfect equilibrium. The game is evaluated through simulation in a realistic scenario and compared with three other approaches, generating the best overall efficiency by striking a balance between size and content of messages.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE , 2015. 6306-6311 p.
, IEEE International Conference on Communications, ISSN 1550-3607
National Category
Computer and Information Science
URN: urn:nbn:se:uu:diva-260256DOI: 10.1109/ICC.2015.7249329ISI: 000371708106087ISBN: 9781467364324OAI: oai:DiVA.org:uu-260256DiVA: diva2:846810
ICC 2015, June 9–12, London, UK
Available from: 2015-08-18 Created: 2015-08-18 Last updated: 2016-08-26Bibliographically approved
In thesis
1. A Node-Link Perspective on the Impact of Local Conditions in Sensor Networks
Open this publication in new window or tab >>A Node-Link Perspective on the Impact of Local Conditions in Sensor Networks
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Sensor networks are made up of small battery-powered sensing devices with wireless communication capabilities, enabling the network to monitor the environment in which it is deployed. Through their flexible and cable-free design these networks open up for new deployment scenarios that were previously not plausible such as during a natural disaster. Motivated by scenarios where centralized oversight is not possible the focus of this thesis is to equip nodes with further adaptability to changes in the links it has with other nodes. This is achieved through contributions in three areas focusing on observations from a node-link perspective.

First, the impact the local environment has on the nodes is explored by deploying a sensor network outdoors next to a meteorological station to correlate the variations in link quality to the changes in the environment. The work identifies temperature as the main factor, where through further investigations in a controlled setting, a linear relationship between the decrease in signal quality and the increase in temperature is described.

Secondly, the thesis address how nodes in a sensor network can be motivated to exchange data by modeling it as a game. The game theoretic design is motivated by the absence of any centralized control and focus on the nodes as individual users in the network. The presented design motivates the selfish nodes to participate in the exchange of sensor data, showing that it is the best strategy.

Lastly, by exploring and understanding how connections in a mobile sensor network occur, nodes are given more flexibility to determine how to send and sample sensor data. This adaptability to contact occurrences is shown to provide better ways of sending data by selecting higher quality links as well as making sampling more energy preserving by reducing the rate in the vicinity of other nodes.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2016. 57 p.
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1398
Sensor networks, opportunistic communication, meterlological impact, packet corruption, multi-contacts
National Category
Communication Systems
Research subject
Computer Science with specialization in Computer Communication
urn:nbn:se:uu:diva-300168 (URN)978-91-554-9643-2 (ISBN)
External cooperation:
Public defence
2016-09-23, P2446, Lägerhyddsvägen 2, Uppsala, 13:15 (English)
Available from: 2016-08-31 Created: 2016-08-04 Last updated: 2016-09-08

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Wennerström, Hjalmar
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