Investigation on relay node placement in wireless sensor network for 5G manufacturing industry

Safiee, Rabiatul Adawiyah (2021) Investigation on relay node placement in wireless sensor network for 5G manufacturing industry. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The wireless sensor network has been increasingly studied as an effective means of achieving smart manufacturing in the industrial world. Various types of sensors with varying communication speeds and radii can be used in the manufacturing sector, resulting in a heterogeneous wireless sensor network. However, there are certain unforeseeable incidents that may trigger wireless devices to malfunction. Factors such as battery exhaustion or harsh environmental conditions can result in node failure of the sensor. For this purpose, the architecture of a wireless sensor network must take into account the feasibility and energy consumption of a longer existence. A temporary lack of contact can result in substantial costs. As a consequence, fault tolerance in the wireless sensor network has been a critical concern for the reliability of the wireless sensor network. One approach to achieve fault tolerance in the wireless sensor network is to deploy a limited number of additional relay nodes to establish paths for each pair of operating devices so that the network can survive failure. As the heterogeneous wireless sensor network is commonly utilised in the manufacturing sector, this design has two types of paths – one-way and two-way. In this project, we will concentrate on achieving partial fault tolerance in the heterogeneous wireless sensor network using the relay node location process. The purpose of this project is to examine and evaluate the effective location of the relay node using the approximation algorithm method, and then the effects of the simulation will be evaluated using the heuristic implementation approach. As a preliminary results, the predicted behaviours of the listed algorithms are far better than the findings according to the output ratio, suggesting that these algorithms operate well in actual sensor networking deployments where the target nodes are usually densely deployed.

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