An energy-efficient centralized dynamic time scheduling for internet of healthcare things

Due to the limited energy source in the sensor nodes, the conservation of energy in these nodes is of utmost importance for Internet of Things (IoT) systems used in monitoring patients. The significant factors that cause power consumption in an Internet of Healthcare Things (IoHT) network are network interference, resource allocation, and time spent idly by body sensors. Moreover, complex encoding, decoding, and encryption processes could increase the processing time in both Media Access Control (MAC) and Physical (PHY) layers. Hence, a novel MAC resource allocation protocol called Centralized Dynamic Time Scheduling (CDTS) is designed to overcome these issues. The CDTS system helps to avoid congestion and network traffic in the IoHT network. The main objective of this algorithm is to reduce the active time of each sensor in the network. We also reduced the total bit error rate in the network by introducing a dynamic bit interleaving method with a feedback loop. It is known that In the PHY layer, encoding and decoding are implemented with the help of a passive modulation scheme to reduce the delay in the network. In the encryption process, the Elliptic curve cryptography(ECC) method is used, which reduces the number of iterations required for encrypting the data. This proposed approach is compared with a fuzzy-based technique to measure efficiency. It is observed that our proposed technique reduced power consumption by up to 20% and is suitable for real-time healthcare applications.

Automated summary

In IoT systems used for monitoring patients, the conservation of energy in sensor nodes is crucial. Factors causing power consumption in IoHT networks include network interference, resource allocation, and idle time of body sensors. A novel MAC resource allocation protocol called CDTS is designed to reduce network congestion, energy consumption, and bit errors.