Friday, 27 November 2015

INTERFERENCE-BASED TOPOLOGY CONTROL ALGORITHM FOR DELAY-CONSTRAINED MOBILE AD HOC NETWORKS

MOBILE AD HOC NETWORKS (MANET)

                         As the foundation of routing, topology control should minimize the interference among nodes, and increase the network capacity. With the development of mobile ad hoc networks (MANETs), there is a growing requirement of quality of service (QoS) in terms of delay. In order to meet the delay requirement, it is important to consider topology control in delay constrained environment, which is contradictory to the objective of minimizing interference. In this paper, we focus on the delay-constrained topology control problem, and take into account delay and interference jointly. We propose a cross-layer distributed algorithm called interference-based topology control algorithm for delay-constrained (ITCD) MANETs with considering both the interference constraint and the delay constraint, which is different from the previous work. The transmission delay, contention delay and the queuing delay are taken into account in the proposed algorithm







WITH the increasing attention and development in mobile ad hoc networks (MANETs), there is a growing demand for applications that require quality of service(QoS) provision, such as voice over IP (VoIP), multimedia, real-time collaborative work. Different applications often have different QoS requirements in terms of bandwidth, packet loss rate, delay, packet jitter, hop count, path reliability and power consumption. Real-time application is one of the particularly useful application directions of MANETs, especially VoIPapplications, where there is a strict requirement of delay. Topology control is to dynamically change the nodes transmission range in order to maintain connectivity of the communication graph, while reducing energy consumption and/or interference that are strictly related to the nodes transmitting range. A good topology not only can provide a better service for routing layer, but also can save energy, increase network capacity and satisfy the QoS requirements.                   

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