Towards a smarter directional data aggregation in VANETs

Allani, Sabri; Yeferny, Taoufik; Chbeir, Richard; Yahia, Sadok Ben

doi:10.1007/s11280-019-00749-y

Cited by 3 publications

(1 citation statement)

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“…Researchers contributed to the area of structured aggregation (Bilal et al, 2014;Wischhof et al, 2003) but it does not find its scope in real-life situations. Smart data aggregation method aggregates on the basis of vehicle direction, road speed limitation, and duplicate packet removal, but the mechanism does not support effective utilization of bandwidth (Allani et al, , 2020. Data dissemination based on map splitting is created by building zones of relevance and extracting related data, but the basic issue of broadcast storm is not addressed .…”

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confidence: 99%

Performance enhancement of in-network probabilistic aggregation (PEPA) for vehicular ad-hoc networks

Kumar

2020

International Journal on Smart Sensing and Intelligent Systems

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In the current scenario of vehicular communication, it is very difficult to believe that the aggregated packet of information is not malicious. The algorithm is developed to allocate probability to the packet transmitted by the cluster head depending upon, the number of vehicles involved in creating a clustered information. The aggregated packet with the highest value of probabilistic correctness is considered by the receiving-end cluster head when multiple packets of similar information with related timestamps are received. The performance of the technique is tested under varying vehicular densities and data-sending rates. This scheme provides robust aggregation performance in comparison to the existing state-of-theart structured and structure-free aggregation techniques.

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confidence: 99%