Loading [a11y]/accessibility-menu.js
Toward Efficient Sensor Deployment in Internet of Things for Target Coverage and Sensor Connectivity | IEEE Journals & Magazine | IEEE Xplore

Toward Efficient Sensor Deployment in Internet of Things for Target Coverage and Sensor Connectivity


Abstract:

The Internet of Things (IoT) has become widely popular due to its rapid progress and broad range of practical uses, which have significantly impacted our daily lives. One...Show More

Abstract:

The Internet of Things (IoT) has become widely popular due to its rapid progress and broad range of practical uses, which have significantly impacted our daily lives. One such key utilization of IoT is making consumer electronics interactive, interconnected and self-responsible by means of sensors and Internet. Sensors play a crucial role as the primary technology that enables the Internet of Things (IoT) and its various applications. The inherent difficulty hinders the further growth of IoT. One such problem is utilizing minimum number of sensors to achieve maximum coverage and connectivity in the network. The most accurate method to encounter this issue is optimal Sensor Placement (OSP). OSP predetermines the sensor’s position for its deployment to attain maximum network coverage and connectivity. Hence, this paper proposes a coverage and connectivity-preserving hierarchical algorithm based on discrete Haar wavelet transform for optimal sensor placement algorithm. The proposed algorithm utilizes discrete Haar wavelet transform, for identifying sensor’s position and to ensure connectivity Breadth first search algorithm is used. Further, to enhance the coverage, proposed algorithm determines redundant sensors and redeploy it in determined spots. The results obtained from the proposed algorithm effectively address the research problem and attain better results compared with the existing efficient methods.
Published in: IEEE Transactions on Consumer Electronics ( Volume: 70, Issue: 3, August 2024)
Page(s): 5432 - 5440
Date of Publication: 22 November 2023

ISSN Information:


References

References is not available for this document.