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Call Admission Control and Handoff Techniques for 3-G and Beyond Mobile Networks
Shekhar Verma,Geetam S. Tomar 사단법인 인문사회과학기술융합학회 2011 예술인문사회융합멀티미디어논문지 Vol.1 No.1
Cellular mobile communication Networks have many services and each type of Services has distinct characteristics and Quality of Service requirement. It is important issues in 3-G and beyond networks are to prepare a framework for multiple class service, which performs call admission and handoff efficiently. There have been handful existing mechanisms for improving Call Admission Control (CAC) and Handoff Techniques in mobile network but most of them have considered only single class of service or might have touched value of few classes but not beyond. In this paper we have considered 8 types of services, which are differentiated according to their: Acceptable delay in transmission, Buffering capacity, Transmission mode and Bit rate. In this approach CAC and Handoff issues are resolved by awarding calls with some Priority Number by which each call will be recognized. Another issue of collision in CAC and handoff will be resolved by priority and authority to access the channel. Performance of this frame- work for CAC and Handoff is evaluated by calculating Call Dropping probability and Call Completion probability in this paper.
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Sumeet Gupta,ShekharVerma,Raj K. Abrol 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.4
Wireless Sensor & Actuator networks take actuation decisions based on the data collected by the deployed set of sensor nodes. The method of data acquisition, leading to decision making, could be semi-automated or fully automated. In either case, the reliable delivery of information assumes critical importance since it has a direct impact on the decision making process for subsequent action by the actuator network. This paper presents in details a novel methodology “Layer Based Time Constrained Reliable Data Acquisition Mechanism” LTCRDM, which can be utilized for reliable delivery of information, sensed periodically or in response to a query, by the sensors deployed over a geographical area to a centralized sinkwhere the decision for eventual actuation is taken. Since the latency and reliability requirements in a WSAN are stringent, the mechanism detailed attempts delivery of maximum packets with minimum latency to ensure that estimation of the sensed event is accurate leading to correct decision making. The methodology ensures relatively low packet loss as compared to standard packet delivery mechanisms with latency time constraints. The algorithm for dissemination of query (LQDM) in the deployed nodes is also presented. Authors have provided detailed algorithm, results of simulation and observations using IEEE 802.15.4 PHY & MAC as underlying layers. Experimental results over a test-bed are also presented. A critical analysis of the results is presented for comparison against the standard methodologies in vogue.
KCI
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