Investigating the Effect of Changing the Distance between Nanomachines on Increasing the Efficiency of Message Delivery Using Chemotaxis and Network Connectivity Nano Communicative Bacteria

Subject Areas : Multimedia Processing, Communications Systems, Intelligent Systems

Tayebe raiesi ardali ¹ , vahid satari naeini ² , javad mohammadzadeh ³

1 - PhD. Student, Karaj Branch, Islamic Azad University, Karaj, Iran
2 - Associate Professor of computer engineering, Shahid Bahonar University of Kerman, Kerman, Iran
3 - Assistant Professor, Department of computer engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

Received: 2022-10-13 Accepted : 2023-06-15 Published : 2022-12-22

Keywords: nanonetwork, bacteria communication nanonetwork, molecular communication, Keywords: nanomachine,

Abstract :

Introduction: Nanomolecular network is used as a new connection pattern in nanomachines. These connections are possible using biological components in the environment. The molecular communications have important drawbacks, such as very low capacity or the need to deploy a complex infrastructure. One of the most effective approaches for this purpose is using bacteria to carry encrypted message among nanomachines.Method: The current research examines effective routing in bacterial communication nano networks based on changing the distance between nanomachines. The aim of this research is to develop routing capability for bacterial communication nano networks. For this purpose, two intrinsic characteristics of bacteria, including chemotaxis and conjugation, have been used. In order to analyze the efficiency of message delivery, simulation was done for several different topologies. The purpose of simulation in different forms of topology is to investigate the effect of changing the distance between nanomachines and also the connection process in order to improve message delivery.Results: The results of this research showed that in the number of successful messages delivered to the destination for longer distances, it can be seen that topology 2 performs better. The comparison of the number of connections made at different distances for all three investigated topologies showed that with the increase in the number of bacteria in All three topologies increase the number of connections made, but in different intervals in terms of the distance between the nanomachines, it can be seen that the number of connections decreases as the distance increases due to the reduction of the effect field of the chemical adsorbent, which is needed to direct the movement of the bacteria.By examining and evaluating the simulation results for the average delay of the messages reached to the destination by changing the distance between the nanomachines, it can be seen that for all three topologies, with the increase in the number of bacteria, the average delay decreases, and with the increase in the distance between the nanomachines, the average delay also decreases. It can be seen that topology 2 has the lowest latency in terms of average latency for longer distances.Discussion: By increasing the distance among nanomachines, the number of received messages at the destination decreases as well. One of the topologies results in better average latency in longer distances compared to the others, because of the hollow center in this topology.

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