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Two novel subjective logic-based in-network data processing schemes in wireless sensor networks

Firoozi, F and Li, FY and Zadorozhny, VI (2016) Two novel subjective logic-based in-network data processing schemes in wireless sensor networks. In: UNSPECIFIED.

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Abstract

Wireless sensor networks (WSNs) consist of connected low-cost and small-size sensor nodes. The sensor nodes are characterized by various limitations, such as energy availability, processing power, and storage capacity. Typically, nodes collect data from an environment and transmit the raw or processed data to a sink. However, the collected data contains often redundant information. An in-network processing scheme attempts to eliminate or reduce such redundancy in sensed data. In this paper, we propose two in-network data processing schemes for WSNs, which are built based on a lightweight algebra for data processing. The schemes bring also benefits like decreased network traffic load and increased reliability for a network. For trust generation, we employ subjective logic based calculations to mitigate trust fluctuations caused by internal and external factors. Numerical results based on synthetic data reveal the effectiveness and preciseness of our proposed schemes.

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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Firoozi, F
Li, FY
Zadorozhny, VI
Date: 30 November 2016
Date Type: Publication
Journal or Publication Title: International Conference on Wireless and Mobile Computing, Networking and Communications
Event Type: Conference
DOI or Unique Handle: 10.1109/wimob.2016.7763239
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781509007240
ISSN: 2161-9646
Date Deposited: 30 Jun 2017 14:46
Last Modified: 30 Mar 2021 10:55
URI: http://d-scholarship.pitt.edu/id/eprint/32614

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