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In the Internet of things (IoT) paradigm, wireless sensor networks (WSNs) contribute hugely by connecting all the devices for smart application purposes. The smart applications include smart healthcare system, as a key phenomenon of new era of medical service. Smart healthcare system consists of different techniques and approaches, and remote health monitoring is one of those important techniques of healthcare system, which helps doctors to monitor health of remotely located patients with different health statistics provided by sensors. This whole process should be fast, prompt in response and energy efficient which is tough with limited battery power of sensors. The article proposes a novel method for efficient utilization of power in WSNs, using artificial neural network-based technique self-organizing map (SOM) for clustering and distributed artificial intelligence (DAI) for power distribution in the nodes. The hybrid approach of SOM and multi-agent-based DAI results in better performance compared to other existing methods. The performance of the proposed method is validated with mathematical analysis and simulation results, which justifies the significance of the work for IoT environment. [ABSTRACT FROM AUTHOR]

In a generic modern multi-antenna relay system, the incremental cooperative networks use the neighbor nodes to assist the source by sending the source message to the destination for achieving spatial diversity. Therefore, the involvement of cyber-physical Systems (CPS) in smart healthcare has proportionately improved in terms of the relaying schemes. These schemes are equally implicated to terrestrial and non-terrestrial networks. For any non-terrestrial-networks (NTN), the computational intelligence in terms of artificial intelligence (AI) plays a viral role, the work have introduced a novel paradigm of NTN applications using Explainable-artificial intelligence (X-AI) approach. Initially, we propose and analyze a new cooperative relaying scheme for the incremental multi-antenna relays system; namely, incremental multi-antenna relays cooperation with a hybrid relaying scheme (IMARC-H). The IMARC-H, either Amplify-and-forward (AF) or Decode-and-forward (DF) uses relaying scheme based on the X-AI approach. Mathematical formulations have been deducted to support an optimal relationship between signal-to-noise ratio (SNR) and neighbour nodes in the physical layer. The simulations are presented to showcase the validation of the work. The analysis of the obtained simulation results shows that the proposed scheme outperforms in minimizing Bit-Error-Rate (BER) and outage probability as compared to the existing CPS-based relaying schemes such as IMARC-AF, IMARC-DF, etc. [ABSTRACT FROM AUTHOR]