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Parameter Analysis of Adhoc Network using Molecular Communication


Volume 4 issue 1 Download Paper
Year of Publication: 2019
Authors: Manpreet kaur, Ashok kumar goel

Abstract


Molecular communication is a rising communication model for biological nano-machines. It permits biological nano-machines to communicate to the external environment by exchanging information among the molecules. Due to the biological nature of biological nanomachines, molecular communication finds application to measure the conditioning of the human body, the formation of tissues, etc. The communication is performed by using mainly three units (i) transmitter (ii) channel and (iii) receiver. At the transmitter side, the information is encoded, in this research work, we are using the OFDM technique to encode the information signal and then the encoded signal is passed to the external environment. Initially, a molecular communication network is designed by using n number of nano-machines. The network area of communication is defined by using 1000×1000 meter square height and width. The coverage area of each nano-machine is defined using the area of the network which is 20 percent of the total area. The source molecule and destination molecules are defined within the network. After this, the route is formed from source to destination. The collision may occur in the communication path if there are more than one user transmitting data within the same route. In such a case, a packet is dropped and the throughput of the network decreases. To overcome this problem, we are using OFDM (Orthogonal frequency division multiplexing). This technique helps to allow several molecules to transmit information in a specified band, by dividing the offered bandwidth into different narrow bandwidth carriers. Every molecule is allocated with defined carries to transmit their information and the carriers are orthogonal to each other. This results in decreasing interference as well as the collision and hence increases the spectral efficiency. Also, ANN (artificial neural network) is used to classify the best possible route within the molecular communication network with the help of OFDM. To determine the efficiency of the proposed work, the parameter such as BER (Bit error rate) and MSE (mean square error) are measured in MATLAB.


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Keywords


Molecular communication, nano-machine, OFDM, ANN