The Internet of Things (IoT) is a technology that enables communication between everyday life using different sensor actuators that work together to identify, capture, and distribute critical data from the planet. Massive machines and devices are therefore linked and communicate with them. The use of resources in this area presents new challenges for this technology. The goal was to find a green IoT that focuses on energy efficiency and IoT efficiency. Green IoT is an energy-efficient way to reduce or eliminate the greenhouse effect of current applications. Radio Frequency Identification (RFID) is one of the Green IoT and Master IoT components that identifies a person or entity in a high-frequency electromagnetic spectrum when combining electromagnetic or electrostatic couplings. If the predictions are also correct, energy use issues arise as active battery-powered RFID detection needs to be addressed by incorporating new solutions for Green IoT technology. Past studies and assessments have attempted to evaluate RFID technology and its functions. Unfortunately, however, they concentrated on a single RFID view of technique and technology. This paper examines holistically and systematically the impact of RFID applications on green IoT, focusing on three categories: the challenges, environmental consequences, and the benefits of green IoT RFID applications. The impacts, performance and safety of RFID IoT applications have been carefully described. The benefits and examples of RFID applications, including their key advantages and disadvantages, are also discussed. Overall, this paper highlights the potential efforts of RFID to address existing Green IoT issues.

Internet of things (IoT) technology is growing exponentially in almost every sphere of life. IoT offers several innovation capabilities and features, but they are also prone to security vulnerabilities and risks. These vulnerabilities must be studied to protect these technologies from being exploited by others. Cryptography techniques and approaches are commonly used to address and deal with security vulnerabilities. In general, the message queuing telemetry transport (MQTT) is an application layer protocol vulnerable to various known and unknown security issues. One possible solution is to introduce an encryption algorithm into the MQTT communication protocol for secure transmission. This study aims to solve the security problem of IoT traffic by using a secure and lightweight communication proxy. The strategy behind this communication broker acts as a network gateway providing secure transaction keys to all IoT nodes in the network. This task uses a java servlet and elliptic curve cryptography (ECC) algorithm to generate identity encryption keys in a component-based web transaction infrastructure. This approach encrypts the data before it is sent via the MQTT protocol to secure the communication channel and raise the security device and network transactions.

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Coordinated Multipoint (CoMP) is one of the new technologies introduced in Long Term Evolution-Advanced (LTE-A) which helps to achieve the requirements of 4G issued by International Telecommunication Unit (ITU). At the same time, it is also one of the techniques for Inter-cell Interference Coordination (ICIC) that assists to eliminate the interference caused by neighboring base stations. Meanwhile, it also able to improve the channel capacity of the system. In brief, CoMP can be implemented for user experiences weak signals especially user at the cell edge because CoMP will coordinate several base stations for transmission. However, there is some challenges that CoMP technique faced which is energy efficiency and this is the main focus of this project because it always becomes ignorance. This project is mainly analyze the energy efficiency of the system by comparing the system with CoMP and non-CoMP or conventional system. There are few types of power consumption's considered which are transmit power, base station power and backhaul power. Therefore, a generic analytical equation is used for simulation conducted in this project. The energy efficiency is in the unit of bits/joule. Via the simulation, a system with best energy efficiency is identified. Besides that, analysis of the results is discussed in details. Other than that, there is further analysis on the system with best energy efficiency. The portion of each type of power consumed from the total power consumption is calculated. Furthermore, there is some suggestions on reducing the power that consumed the most because this kind of power has high potential on further improves the energy efficiency of the system. In addition, this helps to move the world towards green technology path smoother or less barrier.

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