Towards offering more useful data reliably to mobile cloudfrom wireless sensor network

Zhu, Chunsheng, Sheng, Zhengguo, Leung, Victor C M, Shu, Lei and Yang, Laurence T (2015) Towards offering more useful data reliably to mobile cloudfrom wireless sensor network. IEEE Transactions on Emerging Topics in Computing, 3 (1). pp. 84-94. ISSN 2168-6750

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Abstract

The integration of ubiquitous wireless sensor network (WSN) and powerful mobile cloud computing (MCC) is a research topic that is attracting growing interest in both academia and industry. In this new paradigm, WSN provides data to the cloud, and mobile users request data from the cloud. To support applications involving WSN-MCC integration, which need to reliably offer data that are more useful to the mobile users from WSN to cloud, this paper first identifies the critical issues that affect the usefulness of sensory data and the reliability of WSN, then proposes a novel WSN-MCC integration scheme named TPSS, which consists of two main parts: 1) TPSDT (Time and Priority based Selective Data Transmission) for WSN gateway to selectively transmit sensory data that are more useful to the cloud, considering the time and priority features of the data requested by the mobile user; 2) PSS (Priority-based Sleep Scheduling) algorithm for WSN to save energy consumption so that it can gather and transmit data in a more reliable way. Analytical and experimental results demonstrate the effectiveness of TPSS in improving usefulness of sensory data and reliability of WSN for WSN-MCC integration.

Item Type: Article
Keywords: Clouds;Data communication;Logic gates;Mobile communication;Monitoring;Reliability;Wireless sensor networks;Wireless sensor networks;integration;mobile cloud computing;reliability;usefulness
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA0168 Systems engineering
Depositing User: Zhengguo Sheng
Date Deposited: 23 Jan 2015 08:09
Last Modified: 06 Mar 2017 06:59
URI: http://sro.sussex.ac.uk/id/eprint/52395

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