Background:
The smart grid communication network is constructed with three tiers namely, Home Area
Networks (HANs), Neighborhood Area Networks (NANs) and Wide Area Networks (WANs). These networks function
with various communication protocols like table protocol, on-demand protocol, Wi-Fi, Zigbee, Z-Wave, Wi-MAX, GSM,
LTE, Cognitive Radio Networks. The network interconnection is heterogonous and all appliances have to communicate
through the IP gateways. A large amount of data is collected from various sensors placed in different locations. The
analytics on large data- “big data” is essential because these data were used to organize and plan an efficient control and
management of the smart home including secured data exchange in different sectors.
Objective:
This paper investigates broadly on data rate, channel bandwidth, power consumption, and a coverage range of
both wired and wireless communication technologies used in residential buildings. Besides, a literature survey on
optimization algorithms with various constraints to manage home appliances through scheduling is included. The paper
also discusses the communication standards along with security and privacy requirements for smart metering networks.
Conclusion:
Discussion on IEEE standards for both wired and wireless communication protocols. Gives direction to
identify the suitable communication technique through mathematical model for computing the communication channel
bandwidth. Comparison of various optimization algorithms with multiple constraints in HEMS to achieve the minimum
electricity cost and user comfort (with and without Renewable Energy Sources). From the investigation on both wired and
wireless networks, the wireless communication networks (Zig-Bee & Wi-Fi) are mostly preferred to use in HAN because
of more reliability and low cost. Zigbee is the most appropriate technology used for data transmission between the
individual appliances and smart meters. Wi-Fi is a suitable technology for controlling and monitoring appliances because
of its high data rate.
Integrated approach for efficient power consumption and resource allocation in MIMO-OFDMA
