• Prashant Johri

The Internet of Things (IoT) is committed to providing cutting-edge technology to allow a number of new services connected to healthcare, manufacturing, intelligent cities and other everyday human activities. A huge number of smart, self-powered devices gather real-world data and interact with the other and the cloud over a wireless connection in a typical IoT setup to share information and perform certain services. The considerable energy consumption connected with the wireless transmission, however, restricts the performance of these IoT-supplied devices in terms of calculation and battery life. Therefore, alternative methods such as cooperative transmission, multi-hop network designs and advanced compaction algorithms must be studied to maximise data transfer. For the latter, CS is a highly appealing paradigm that may be included in the design of IoT systems. CS is a unique signal acquisition and compression theory which uses the sparsity nature of most naturally occurring signals and IoT designs to provide powerful, real-time platforms that provide efficient IOT applications. This study examines the existing literature targeted at using CS in IoT applications. The study also highlights new trends and proposes numerous ways for future CS-based IoT research.

IOT, WSN, Sensors, Hardware

"IOT ANS WSN: A CRITICAL REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.1461-1468, January-2018, Available :http://www.jetir.org/papers/JETIR1801263.pdf

"IOT ANS WSN: A CRITICAL REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp1461-1468, January-2018, Available at : http://www.jetir.org/papers/JETIR1801263.pdf