Affiliations: [a] Department of Physics and Electronic Science, Guizhou Normal University, Guiyang, Guizhou, China | [b] Key Laboratory of Special Automotive Electronics Technology of the Education Department of Guizhou Province, Guiyang, Guizhou, China
Correspondence:
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Corresponding author: Ziyi You, Department of Physics and Electronic Science, Guizhou Normal University, Guiyang, Guizhou 550001, China. E-mail:[email protected]
Abstract: The data aggregation with multi-resources traffic
information is a very important issue for intelligent vehicle systems (IVS).
It can not only collect the most critical data from the traffic environment,
but also prevent sensor network congestion. Unfortunately, we so far have no
suitable solutions for WSN based IVSs. This paper presents an efficient
approach for traffic data aggregation, applied in IVSs. At first, our
approach adopts a hybrid network structure which is the combination of the
chain structure and the unequal clusters structure. In this structure, all
sensor nodes from the same cluster use parameters such as leading code and
geographical position etc. to guarantee secure data aggregation. Furthermore, a method is introduced depending on creditability evaluation
and reliability allocation so that the application layer can calculate
aggregation results accurately, and then makes the decisions. Finally, the
performance of the proposed scheme has been verified using simulation,
showing that it is superior to similar protocol VLEACH (an improvement on
LEACH) and ESDA (Efficient and Secure Data Aggregation protocol) such as the
sensor nodes energy consumption and aggregation precision. The analysis
result indicates that our scheme is effective and feasible in the next
generation of sensor technologies of ITSs.
