Investigation on the Incorporation of Internet of Things with Wireless Sensor Networks based on Path Vector Hop count and Limited Bandwidth Channel IoT Mechanism

Introduction: A Wireless Sensor Network (WSN) consists of sensors with wireless transceivers that link autonomously over many hops. It offers various advantages, including less traffic, more stability, extended wireless communication distances, and broader coverage regions at less money. Combining emerging Limited Bandwidth Channel Internet of Things (LBC-IoT) technologies with wireless sensor networks offers interesting applications in defence, medical, smart transportation, and commercial sectors.

Methods: This study initially analyses WSN and LBC-IoT technologies independently before combining them to look into the networking framework of LBC-IoT and WSN, as well as the associated technologies resulting from the fusion. The article describes the typical network node redeployment strategy for wireless sensors, which can lead to poor node connection and inadequate coverage due to a lack of local subgroup node search. The proposed WSN node localization technique, based on the Hop Count Path Vector (HOP-PV) algorithm, enhances and optimizes the calculation method of the number of node hops and average hop distance, resulting in the PVHOP-LBCIOT mechanism.

Results and Discussion: Simulation results indicate that the improved PVHOP-LBCIOT algorithm's three deployment methods (square, central uniform, and cross) outperform the two methods of HOP-PV (random deployment) and PVHOP-LBCIOT (border uniform deployment) for an equal number of unknown moving anchor positions (11), unequal number of unknown nodes (30-13)and fixed communication radius (6), with reduced average error rate of 32.79 % from 38% and improved accuracy for obtaining unknown node location.

Conclusion: The suggested WSN node localization approach using a single mobile anchor node, known as the PVHOP-LBCIOT mechanism, enhances and optimizes the process of calculating the average hop distance and the number of node hops. A comparison experiment demonstrates that this hopping algorithm has much greater coverage, node power, connectivity, and robustness compared to traditional method.