Abstract
Vehicular ad-hoc network (VANET) plays a significant role in future intelligent transportation systems. The main objective of vehicular ad hoc networks (VANETs) is to improve driver safety and traffic efficiency. Many researchers proposed different schemes to improve communication efficiency. It is quite challenging where vehicles’ speed, Direction, and density of neighbors on the move are not consistent. Although several routing protocols have been introduced to manage data exchange among vehicles in VANETS, they still suffer from many drawbacks such as lost packets or time penalties. This paper introduced a new Fog Based Routing Strategy, which constructs a reliable system of adaptive, stable, and efficient routing networks. FBRS consists of two main phases: System Setup Phase (SSP) and System Operation Phase (SOP). SSP creates a cluster network, collects its nodes’ data, mining routes between them, and ranking paths using Dijkstra’s algorithm into a simplified table. Although, SOP generates a reliable route between the request of any two nodes for a communication channel and maintains the route against any simultaneous crashes. Recent VANET routing protocols have been compared against FBRS. Experimental results have proven the outperforming of the proposed algorithm against recent routing protocols in terms of packet delivery ratio and routing overhead.
Highlights
Vehicular ad hoc networks (VANETs) are innovative technology in transportation systems and smart cities [1,2,3]
Fog-Based Routing Strategy (FBRS) consists of two main phases: System Setup Phase (SSP) and System Operation Phase (SOP)
The Communication Request Message (CRM) must include handshakes and returns the acknowledgment message with a reply as it follows the same sequence back to the source. − Case (ii): NS and ND are in the same Fog Server (FS): In case NS cannot find a relation with ND in its node RT (NRT)
Summary
Vehicular ad hoc networks (VANETs) are innovative technology in transportation systems and smart cities [1,2,3]. The main target of VANET is to deliver specific data efficiently with the minimum delay possible in time It supports many critical services such as traffic propagation alerts, sudden accidents, unusual traffic movements, route planning and control services, V2V communications, and cloud services [6]. − In mining the data and the inner relations, we used Dijkstra’s algorithm to optimize the routing table in a much simpler and faster form It handles the proactive approach's primary disadvantage, which consumes time to build and mine all network routes. This paper’s organization is as follows: Section 2 shows the related works, explains Fog computing’s essential characteristics as a new computing paradigm, and illustrates a quick survey of VANET routing protocols.
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