Smart grids have received much attention in recent years in order to optimally manage the resources, transmission and consumption of electric power.In these grids, one of the most important communication services is the multicast service. Providing multicast services in the smart communicative grid poses several challenges, including the heterogeneity of different communication media and the strict requirements of reliability, security and latency. Wireless technologies and PLC connections are the two most important media used in this grid, among which PLC connections are very unstable, which makes it difficult to provide reliability. In this research, the problem of geographically flooding of multicast data has been considered. First, this problem has been modeled as an optimization problem which is used as a reference model in evaluating the proposed approaches. Then, two MKMB and GCBT multicast tree formation algorithms have been developed based on geographical information according to the characteristics of smart grids. Comparison of these two approaches shows the advantages and disadvantages of forming a core-based tree compared to a source-based tree. Evaluation of these approaches shows a relative improvement in tree cost and the amount of end-to-end delay compared to basic algorithms. In the second part, providing security and reliability in data transmission has been considered. Both Hybrid and Multiple algorithms have been developed based on the idea of multiple transmission tree. In the Hybrid algorithm, the aim is to provide higher security and reliability, but in the Multiple algorithms, minimization of message transmission delay is targeted. In the section of behavior evaluation, these two algorithms have been studied in different working conditions, which indicates the achievement of the desired goals.
翻译:近年来,智能电网受到极大关注,以优化管理资源、输电和电力消耗。在这些电网中,最重要的通信服务之一是多播服务。在智能通信电网中提供多播服务构成若干挑战,包括不同通信媒体的多样性以及可靠性、安全性和耐久性的严格要求。无线技术和PLC连接是这个电网中使用的两个最重要的媒体,其中PLC连接非常不稳定,难以提供可靠性。在这项研究中,多播数据在地理上泛滥的问题得到了考虑。首先,这一问题被模拟为优化问题,用作评价拟议方法的参考模型。随后,根据智能电网的特点,根据地理信息开发了两个MKMMB和GCBT多播种树构成算法。对这两种方法的比较表明,与源树基树连接相比,形成核心树树的利弊,这些方法的评估表明树的成本相对改善,而多播种数据最终延迟的程度也表明,与基本算法的可靠性相比,两个目标的可靠性和多重算算法的可靠性是,在安全性传输中,在提供双向导算中,这些算法的可靠性和多重算法传递中,这些算的可靠性和多重算法的目的是是多向。