## 1 Introduction  
Recent studies have revealed the phenomenal growth in energy consumption. Unconventional electricity generation sources, such as wind, solar, etc., must be streamlined to fulfil such a phenomenal rise in the demand for electricity [1]. However, to effectively integrate these sources, the modernization of existing power grids is required. The Smart Grid (SG) is a modernization of the existing conventional power grid [2]. Moreover, traditional power grids cannot incorporate new technologies and integrate renewable energy sources from individual households [3]. Further, smart metering, dynamic pricing, real-time grid-status monitoring, load balancing, etc. cannot be achieved through conventional power grids [4]. Consequently, conventional power grids are now being transformed into SGs due to these several flaws. Apart from integrating the multitude of solar sets located at individual households to large offshore wind farms with conventional sources for electricity generation, SGs are also useful in monitoring and controlling the health of power grids [5]. Furthermore, the smart grid could also avoid power blackouts to escape from huge economic losses, as observedin the cases of the North American 2003 blackout, the Indian 2012 blackout, the Italian blackout in 2003, the 2011 San Diego blackout, the 2011 Pacific Southwest outage, etc. [6]. Some of the additional benefits of SG technologies in the power system paradigm are their reduced cost, effective operation, operational cost savings, decreased energy losses, improved observability, and controllability of the power grid. Being flexible in design and adaptable to ubiquitous emerging technologies, the SG can cater to the diverse demands of today's era. The SG components are intertwined through the communication infrastructure. The different sensing and actuating signals are communicated over the communication network. The health of the power grid is monitored on a real-time basis through the Synchrophasor Measurement System (SMS) to ensure its efficient operation [7]. The Phasor Measurement Units (PMUs) act as synchrophasor sensors in the SMS. Some of the electrical buses are equipped with PMUs for the real-time monitoring of the SG. The synchrophasor data from PMUs are sent to the Phasor Data Concentrator (PDC) located on the operator side. The operator analyses the synchrophasor data received at the PDC for the effective monitoring and control of the SG. The synchrophasor data are communicated over the Synchrophasor Communication Network (SCN), which provides a communication infrastructure for SMS [8]. Thus, the SMS generally consists of several PMUs, PDCs, and the SCN as the prime constituents, which are used for monitoring and controlling the SG in real-time. The monitoring of the SG in real-time is an important paradigm that has been emphasized in the literature, and a detailed survey of different technologies used in SG real-time monitoring is presented in [9]. In order to monitor and maintain the health of the SG, the SCN is crucial, which is comprehensively highlighted in [10]. It is highly complex and thus believed to be an engineering marvel. The SCN adopts a hybrid communication infrastructure, including wired and wireless interfaces, to facilitate synchrophasor data communication [11]. In fact, under a few scenarios, the only choice is to use wireless technology as there is no scope for Ethernet-based communication. However, like other applications, hybrid solutions may produce promising results in the case of synchrophasor communication. The different communication technologies offer advantages and are plagued with a few disadvantages. Compared with wired interfaces, the wireless interfaces in SCNs are prone to access failure and stochastic delay. Further, being interdisciplinary, some other challenges exist for these networks [12]. The dynamically changing environmental conditions hinder the operation of SGs. Further, natural calamities, such as earthquakes, tsunamis, and floods, may disrupt the operation of SCNs.