A Load Balancing and Congestion-Avoidance Routing Mechanism for Teal-Time Traffic over Vehicular Networks

With the growth up of internet in mobile commerce, researchers have reproduced various mobile applications that vary from entertainment and commercial services to diagnostic and safety tools. Resource management for real-time traffic has widely been recognized as one of the most challenging problems for seamless access to vehicular networks. In this paper, a novel load balancing and congestion-avoidance routing mechanism over short communication range is proposed to satisfy the stringent QoS requirement of real-time traffic in vehicular ad hoc networks. Fuzzy logic systems are used to select the intermediate nodes on the routing path via inter-vehicle communications, and H-infinity technique is used to adjust the membership functions employed in the fuzzy logic systems to adapt to the volatile characteristics of the vehicular networks. Notably, a prediction of the remaining connection time among each vehicle and its neighbors is derived to assisting in the determination of the intermediate nodes on the routing path. The experimental results verify the effectiveness and feasibility of the proposed schemes, in terms of several performance metrics such as packet delivery ratio, end-to-end delay, control overhead, throughputs, call blocking probability and call dropping probability

A Load Balancing and Congestion-Avoidance Routing Mechanism for Teal-Time Traffic over Vehicular Networks

With the growth up of internet in mobile commerce, researchers have reproduced various mobile applications that vary from entertainment and commercial services to diagnostic and safety tools. Resource management for real-time traffic has widely been recognized as one of the most challenging problems for seamless access to vehicular networks. In this paper, a novel load balancing and congestion-avoidance routing mechanism over short communication range is proposed to satisfy the stringent QoS requirement of real-time traffic in vehicular ad hoc networks. Fuzzy logic systems are used to select the intermediate nodes on the routing path via inter-vehicle communications, and H-infinity technique is used to adjust the membership functions employed in the fuzzy logic systems to adapt to the volatile characteristics of the vehicular networks. Notably, a prediction of the remaining connection time among each vehicle and its neighbors is derived to assisting in the determination of the intermediate nodes on the routing path. The experimental results verify the effectiveness and feasibility of the proposed schemes, in terms of several performance metrics such as packet delivery ratio, end-to-end delay, control overhead, throughputs, call blocking probability and call dropping probability

Routing Protocols in Vehicular Ad hoc Networks: Survey and Research Challenges

A Vehicular Ad hoc Network (VANET) is a type of wireless ad hoc network that facilitates ubiquitous connectivity between vehicles in the absence of fixed infrastructure. Mul ti-hop routing and beaconing approaches are two important research challenges in high mobility vehicular networks. Routing protocols are divided into two categories of topology-based and position-based routing protocols. In this article, we perform a comparative study among the existing routing solutions, which explores the main advantages and drawbacks behind their design. After implementing the representatives of geographical and topology routing protocols, we analyze the simulation results and discuss the strengths and weaknesses of these routing protocols with regard to their suitability to vehicular networks. Lastly, we discuss the open issues and research directions related to VANET routing protocols.Ghafoor, KZ.; Mohammed, M.; Lloret, J.; Abu Bakar, K.; Zainuddin, ZM. (2013). Routing Protocols in Vehicular Ad hoc Networks: Survey and Research Challenges. Network Protocols and Algorithms. 5(4):39-83. doi:10.5296/npa.v5i4.4134S39835

A load balancing and congestion-avoidance routing mechanism for teal-time traffic over vehicular networks. Univer Comput Sci

Abstract: With the growth up of internet in mobile commerce, researchers have reproduced various mobile applications that vary from entertainment and commercial services to diagnostic and safety tools. Resource management for real-time traffic has widely been recognized as one of the most challenging problems for seamless access to vehicular networks. In this paper, a novel load balancing and congestion-avoidance routing mechanism over short communication range is proposed to satisfy the stringent QoS requirement of real-time traffic in vehicular ad hoc networks. Fuzzy logic systems are used to select the intermediate nodes on the routing path via inter-vehicle communications, and H-infinity technique is used to adjust the membership functions employed in the fuzzy logic systems to adapt to the volatile characteristics of the vehicular networks. Notably, a prediction of the remaining connection time among each vehicle and its neighbors is derived to assisting in the determination of the intermediate nodes on the routing path. The experimental results verify the effectiveness and feasibility of the proposed schemes, in terms of several performance metrics such as packet delivery ratio, end-to-end delay, control overhead, throughputs, call blocking probability and call dropping probability