Abstract
Along with the fast development of sensing technologies and smart devices, endless automation opportunities are expected in every sphere of modern life. Hence, the IoT concept plays a vital role in managing and controlling the wireless devices over the Internet. Therefore, IoT is considered to be the third wave of information and communication technology (ICT) after eras of the Internet and cellular networks. Besides, the post-COVID-19 world is expected to more sensor-centric to ensure lesser human interactions. Since a humongous number of sensors are intended to be deployed in IoT, efficient data communication requires the network to be clustered physically or logically. Consequently, the selection of the appropriate sensor(s) for data processing and gathering is vital in IoT. Several sensor selection techniques in IoT have been proposed recently, still, sensor searching remains quite a new research field. Therefore, several sensor searching methods for IoT are studied and presented in this paper. Moreover, the strengths and limitations of the existing sensor searching techniques are also outlined in the paper. Hence, the new performance metrics are presented in the paper, where the existing techniques for searching are analyzed.
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Choudhury, F.N., Rahman, F., Jamil, M.R., Mansoor, N. (2021). Sensor Searching Techniques in Internet of Things: A Survey, Taxonomy, and Challenges. In: Fong, S., Dey, N., Joshi, A. (eds) ICT Analysis and Applications. Lecture Notes in Networks and Systems, vol 154. Springer, Singapore. https://doi.org/10.1007/978-981-15-8354-4_74
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