Trans receiving multimedia using Raspberry-Pi

Internet of things (IOT) can be considered as a combination of effective hardware and impressive software which results in smart objects which are able to communicate and interact among themselves. However, data flow accuracy between two movable devices is a growing problem. This paper proposes and implements two approaches: Discrete Cosine Transfer (DCT) and Inter-Process Communication (IPC) for maintaining stable communication. In our proposed approach, we use a movable semi-autonomous robot that travels to remote places in order to transmit and receive the information. The Receiving and transmitting process is handled using an IPC. The IPC is supported by using network layers that provide accurate interaction between multiple objects. DCT helps save bandwidth by compressing the technique when the IPC is initiating the communication process. The DCT involves in compressing the data and converting it into sin and cos signals. Our proposed approaches, DCT and IPC, are implemented using the Python platform. Our proposed approaches deployed on robots could improve accuracy and reduce bandwidth consumption that will help in military and coal mining applications.