Efficient Data Reporting in Intelligent Transportation Systems

Anisi, M.H. and Abdullah, A.H. (2016) Efficient Data Reporting in Intelligent Transportation Systems. Networks and Spatial Economics, 16 (2). pp. 623-642. ISSN 1566-113X, DOI https://doi.org/10.1007/s11067-015-9291-9.

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Official URL: https://doi.org/10.1007/s11067-015-9291-9


Recently, intelligent transportation systems (ITSs) have emerged. These systems can improve traditional transportation systems and provide traffic information to travelers. In the area of transportation, wireless sensor networks (WSNs) can replace the existing wired sensors and expensive traffic monitoring systems to mitigate the time and costs of installing such systems. However, accurate and on-time traffic information delivery is a major challenge, considering the energy constraints of sensor nodes. In this paper, we propose a two-tier architecture that includes a network of mobile objects (vehicles) in the upper layer and a hierarchical WSN in the bottom layer. Using this approach, a portion of loads on the low-power static sensor nodes can be transferred to mobile objects, such as powerful mobile devices. Moreover, to provide accurate and timely traffic information, a QoS-aware link cost function has been proposed and used for data transmission between the static sensor nodes. In addition, due to the mobility of the objects and the probability of losing packets in the mobile object tier, a reliable data forwarding mechanism has been proposed for this tier. In this mechanism, data packets are forwarded to the neighbors, which enhance the probability of the packets’ being received. The performance evaluation results indicate the effectiveness of the proposed architecture and data reporting mechanism for use in ITS applications.

Item Type: Article
Funders: University of Malaya: (UMRG grant RG325-15AFR)
Uncontrolled Keywords: Intelligent transportation systems; Wireless sensor networks; Routing; Reliability
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 17 Nov 2017 07:42
Last Modified: 17 Nov 2017 07:42
URI: http://eprints.um.edu.my/id/eprint/18314

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