Abstract
1- Introduction
2- Background
3- Problem formulation and solving strategy
4- Simulation results
5- Conclusion
References
Abstract
Vehicular ad-hoc networks provide essential Internet services to users. In consequence, mobile gateways are deployed to guarantee access to the Internet for the entire network. However, the selection of the best gateway taking into account some constraints and trying to reach some high-level objectives is a significant issue in mobile gateways discovery. The number of connected client vehicles must be maximized while a fair load distribution must be performed. For this purpose, we propose a multi-objective optimization system for mobile gateways selection based on two models using different solving strategies allowing the decision maker to choose the adequate solution. The solving approaches are evaluated and compared, and the simulations prove its efficiency compared to that found in the literature. The results show the effectiveness of the system in supporting a decision maker in solving a gateway selection problem and finding a fair solution in case there are no user preferences.
Introduction
In Vehicular Ad-hoc Networks (VANET), communication is established within a group of vehicles within the range of each other, this kind of connection is called Inter-Vehicle Communication (IVC). Furthermore, vehicles communicate with stationary types of equipment within the scope usually called road equipment, and we say that it is a Roadside-to-Vehicle Communication (RVC). The primary purpose of these vehicular networks is to help drivers and interested authorities by providing relevant information about the road. VANET is a useful technique in the so-called Intelligent Transportation Systems (ITS) and plays a role in improving road security and guaranteeing passenger comfort. Among the current challenges in ITS, we cite implementing real-time optimization and efficient systems. As a result, advances in cloud computing are used in this domain to enhance the services provided by ITS. The combination of these two fields becomes a massive research effort in the recent past [1]. Thanks to this union, new concepts are emerging such as vehicular cloud which provides all the services required by the autonomous vehicles [2]. Nowadays, it is possible to optimize the traffic control in the road thanks to many proposed applications deployed by information technology developers. However, cloud computing with its scalable access to computing resources represents a suitable solution for combining the Internet advantages and the technology improvements used on roads. Indeed, massive investment in hardware is not needed to implement the applications if cloud computing is merged to VANET as in [3,4].