Target node selection for data offloading in partially connected vehicular ad hoc networks Online publication date: Tue, 24-Jan-2023
by Shailendra Shukla
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 42, No. 2, 2023
Abstract: VANET generates large data, which can be addressed as the problem of data offloading. A naive approach would utilise infrastructure like road side unit (RSU), femtocell, or Wi-Fi access point (AP). However, increasing the number of cellular towers, Wi-Fi, or femtocell is costlier, requires high maintenance, and has low RoI. This paper proposes a data offloading approach for effective data delivery. The significant contribution of this paper is threefold: 1) a hybrid approach for data offloading where both V2I and V2V are explored to detect an optimised target-set selection; 2) a selection encounter index methodology for the articulation point detection is proposed; 3) a novel policy-based relay selection and storage selection methodology is proposed. The result shows that the proposed algorithm requires 10% to 30% less energy for target set selection, 50% times less load delay, and a 40% high delivery ratio compared to the community and epidemic approach.
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