Research Area:  Vehicular Ad Hoc Networks

Abstract:

Vehicular ad hoc network (VANET) is a key element of an intelligent transportation system (ITS), where connected vehicles communicate with the infrastructure wirelessly. The continuous connectivity influences message dissemination, which affects road safety and traffic effectiveness. The integration of VANET with cellular networks is expected to offer benefits like ultra-low latency, extended communication range and high data rates. The high mobility of vehicles and smaller coverage cells demand frequent handoffs to guarantee continuous connectivity with improved quality of service (QoS). Hence, developing a fast, intelligent and reliable handoff scheme is a major challenge. In this work, a two-phase fuzzy logic based handoff scheme is proposed, where the fuzzy based handoff necessity estimation (FHNE) is carried out in the first phase and fuzzy based technique for order of preference by similarity to ideal solution (FTOPSIS) is executed in the second phase for access network selection. Through simulations, it is validated that the proposed scheme effectively reduces the unnecessary handoffs, decision delay, blocking probability and packet drop ratio (PDR) compared to conventional multiple attribute decision making (MADM) schemes.

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Author(s) Name:  C. Suganthi Evangeline & Vinoth Babu Kumaravelu

Publisher name:  Springer

DOI:  10.1007/s12083-021-01228-w

Volume Information:  

Paper Link:   https://link.springer.com/article/10.1007/s12083-021-01228-w