Quality of Service support for Mobile Ad-hoc Networks is a challenging task due to dynamic topology and limited resource. The main purpose of QoS routing is to find a feasible path that has sufficient resources to satisfy the constraints. A fundamental problem in QoS routing is to find a path between a source and destination that satisfies two or more end-to-end QoS constraints. In this paper a novel QoS routing algorithm called Swarm-based Distance Vector Routing based on ant colony optimization is proposed to support delay, jitter and energy constraints. The simulation results of SDVR are compared with the reactive routing protocol Adhoc On demand Distance Vector routing. SDVR produces better performance than AODV in terms of packet delivery ratio, throughput, end-toend delay, energy, and jitter.
A mobile ad hoc network (MANET) consists of a collection of mobile nodes that communicate in a multi-hop way without a fixed infrastructure. Owing to its uniqueness such as easy deployment and self-organizing ability, it has shown great potential in many civil and military applications. As MANETs are gaining popularity, their need to support real time and multimedia applications is rising as well. Such applications have Quality of Service (QoS) requirements like bandwidth, end-to-end delay, jitter and energy. Consequently, it becomes very necessary for MANETs to have an efficient routing and QoS mechanism to support these applications. QoS provisioning for MANET can be done over different layers starting from the physical layer up to the application layer. This paper mainly looks at the problem of QoS provisioning in the perception of network layer. QoS routing aims at finding a feasible path that satisfies QoS constraints like bandwidth, end-to-end delay, jitter, energy etc. This paper provides a detailed survey of QoS routing protocols in MANETs.
Mobile adhoc network (MANET) is a collection of mobile devices which form a communication network with no pre-existing wiring or infrastructure. Multiple routing protocols have been developed for MANETs. As MANETs gain popularity, their need to support real time applications is growing as well. Quality of service(QoS) provisioning is becoming a critical issue in designing mobile adhoc networks due to the necessity of providing multimedia applications.These applications have stringent QoS requirements such as throughput, end-to-end delay, and energy. Due to dynamic topology and bandwidth constraint supporting QoS is a challenging task. QoS aware routing is an important building block for QoS support. The primary goal of the QoS aware protocol is to determine the path from source to destination that satisfies the QoS requirements. This article proposes a new energy and delay aware protocols called, energy and delay aware Adhoc On demand Distance Vector Routing (EDAODV) and energy and delay aware Dynamic Source Routing(EDDSR) based on extension of AODV and DSR. Simulation results show that the proposed protocols have a better performance than AODV and DSR in terms of energy, packet delivery ratio and end-to-end delay.
Mobile ad hoc network (MANET) is a collection of wireless mobile hosts dynamically forming a temporary network without the aid of any existing established infrastructure. Quality of service (QoS) is a set of service requirements that needs to be met by the network while transporting a packet stream from a source to its destination. QoS support MANETs is a challenging task due to the dynamic topology and limited resources. The main objective of this paper is to enhance the QoS routing for MANET using temporally ordered routing algorithm (TORA) with self-healing and optimized routing techniques (SHORT). SHORT improves routing optimality by monitoring routing paths continuously and redirecting the path whenever a shortcut path is available. In this paper, the performance comparison of TORA and TORA with SHORT has been analyzed using network simulator for various parameters. TORA with SHORT enhances performance of TORA in terms of throughput, packet loss, end-to-end delay, and energy.
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