The Internet of Things (IoT) makes smart objects the ultimate building blocks in the development of cyber-physical smart pervasive frameworks. The IoT has a variety of application domains, including health care. The IoT revolution is redesigning modern health care with promising technological, economic, and social prospects. This paper surveys advances in IoT-based health care technologies and reviews the state-of-the-art network architectures/platforms, applications, and industrial trends in IoT-based health care solutions. In addition, this paper analyzes distinct IoT security and privacy features, including security requirements, threat models, and attack taxonomies from the health care perspective. Further, this paper proposes an intelligent collaborative security model to minimize security risk; discusses how different innovations such as big data, ambient intelligence, and wearables can be leveraged in a health care context; addresses various IoT and eHealth policies and regulations across the world to determine how they can facilitate economies and societies in terms of sustainable development; and provides some avenues for future research on IoT-based health care based on a set of open issues and challenges.

Molecular communication in nanonetworks is an emerging communication paradigm that uses molecules as information carriers. In molecule shift keying (MoSK), where different types of molecules are used for encoding, transmitter and receiver complexities increase as the modulation order increases. We propose a modulation technique called depleted MoSK (D-MoSK) in which, molecules are released if the information bit is 1 and no molecule is released for 0. The proposed scheme enjoys reduced number of the types of molecules for encoding. Numerical results show that the achievable rate is considerably higher and symbol error rate (SER) performance is better in the proposed technique.

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Molecules serve as information carriers in molecular communications. Information bits are encoded by varying the concentration of molecules. The information bits thus encoded are conveyed to the receiver through molecular diffusion. A ligand-receptor receiver measures the concentration of the molecules in order to retrieve the information. In this reported work, a memory channel using first-order Markov chain is developed. A methodical approach to calculate channel capacity is followed. Also, a closed form capacity equation has been derived.

The IEEE 802.15.4 standard is a short range wireless technology. As a revision to this standard, IEEE 802.15.4a introduces new options for PHY (physical layer) to enable ranging. In this paper, we investigate the theoretical maximum throughput and minimum delay of the un-slotted version of 802.15.4a using CSS (Chirp Spread Spectrum) PHY. The throughput and delay limits are derived for different frequency bands and data rates along with the formulae. Moreover, we calculate the bandwidth efficiency for both the standards. The comparative analysis concludes that the performance of 802.15.4a surpasses 802.15.4 in terms of throughput and delay.