Title: An adaptive energy efficient flow coverage scheme for mobile crowd sensing in urban streets

Authors: Ahmed A.A. Gad-ElRab; Almohammady S. Alsharkawy

Addresses: Faculty of Science, Department of Mathematics, Al-Azhar University, Cairo, 11884, Egypt ' Faculty of Science, Department of Mathematics, Al-Azhar University, Cairo, 11884, Egypt

Abstract: With the rapid growth of sensor technology, smartphone sensing has become an effective approach to improve the quality of applications in smartphones. Mobile crowd sensing (MCS) is a new paradigm which takes advantage of pervasive smartphones to efficiently collect data in the urban streets. To achieve a good service quality for a MCS application, coverage mechanisms are necessary to achieve the sensing task requirements. The main problem is how to cover all segments in the street sides and select a minimal number of participants in each street segment. To solve this problem, a flow coverage scheme is proposed to cover a specific street. The proposed scheme is based on using a modified localisation method that uses a minimal of GPS sensors and utilises the Zigbee technology to communicate and estimate the distance between nodes. Extensive simulation results well justify the effectiveness and robustness of the proposed scheme.

Keywords: MCS; mobile crowd sensing; mobile sensors; mobile localisation; flow coverage.

DOI: 10.1504/IJAHUC.2018.094401

International Journal of Ad Hoc and Ubiquitous Computing, 2018 Vol.29 No.1/2, pp.103 - 115

Available online: 29 Aug 2018 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article