期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：3
页码：4653-4660
出版社：TechScience Publications
摘要：Wireless Ad-hoc network is one of the most innovative network technologies which are carried out using multicasting applications in various domains. Partially Observable Markov Decision Process (POMDP) provided higher structural security but did not provide multicasting packets in the wireless ad-hoc network. Works conducted on Resource Biasing Approach attained multi casting efficiency by increasing the level of throughput but the time scheduling process in the wireless ad-hoc network is not up to the performance grade. Resource Biasing Approach did not provide detailed investigation on multicasting route scheduling protocols in the wireless ad-hoc network. The nodes in Wireless ad hoc network with dynamic in nature communicate with each other causing the interference during the multicasting process, so that the plan is to avoid the multi casting interference using time scheduler and routing protocol. Spatial Time Scheduling Multiple Access (STSMA) Framework is proposed in this paper to perform the effective multicast scheduling in the wireless ad-hoc network. STSMA Framework is carried out in two steps. In the first step, the minimization of hop count is performed while packets are transferred through multicasting in the wireless ad-hoc network. The basic approach of STSMA Framework is to construct the time scheduler using the Resource Median Multicast Routing protocol for minimizing traffic during multicasting in wireless ad-hoc network. The minimization of hop count reduces the average data delay time. During the second step, Enhanced Genetic Algorithm (EGA) is formulated to decrease the multicasting computational complexity involved in wireless ad-hoc network. The demand of the users (i.e.,) traffic path are handled efficiently using STSMA Framework with EGA technique. EGA consider large number of population (i.e.,) traffic problems during multicasting and performs the selection, crossover, and mutation operations to effectively perform the spatial time scheduling. Packet loss rate is reduced up to 25 % in STSMA Framework during multicasting in wireless ad-hoc network. Simulation is carried with the multicast scheduling cost, average error rate, packet loss rate, and traffic control efficiency parameters.
关键词：Enhanced Genetic Algorithm; Hop Count;Minimization; Spatial Time Scheduler; Wireless Network;Multicasting Routing Protocol
