Qualitative Collaborative Sensing in Smart Phone Based Wireless Sensor Networks
Wilson Thomas1, E. Madhusudhana Reddy2
1Wilson Thomas, Research Scholar, Research & Development Center, Bharathiar University, Coimbatore (Tamil Nadu), India.
2E. Madhusudhana Reddy, Professor, Department of CSE, Guru Nanak Institutions Technical Campus, (Telangana), India.
Manuscript received on 21 November 2019 | Revised Manuscript received on 04 December 2019 | Manuscript Published on 10 December 2019 | PP: 476-479 | Volume-8 Issue-3S2 October 2019 | Retrieval Number: C11081083S219/2019©BEIESP | DOI: 10.35940/ijrte.C1108.1083S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Collaborative sensing has become a novel approach for smart phone based data collection. In this process individuals contributes to the participatory data collection by sharing the data collected using their smart phone sensors. Since the data is gathered by human participants it is difficult to guarantee the Quality of the data received. Mobility of the participant and accuracy of the sensor also matters for the quality of data shared in such environment. If the data shared by such participants are of low quality the purpose of collaborative sensing fails. So there must be approach to gather good quality of data from participants. In this paper we propose a Truth Estimation Algorithm (TEA) to identify the truth value of the data received and filter out anomalous data items to improve the quality of data. To encourage the participants to share quality information we also propose an Incentive Allocation Algorithm (IAA) for qualitative data collection.
Keywords: Collaborative Sensing; Truth Value; Smart Phones; Truth Discovery, Incentive Based Approach.
Scope of the Article: Heterogeneous Wireless Networks