# Body-to-Body Cooperation in Internet of Medical Things: Toward Energy Efficiency Improvement
## 1 Introduction
### Related Work  
Despite its widespread emergence, IoMT is still in its infancy and there is a vast scope for research into various problems, such as standards, scalability, heterogeneity, common service description language, domain-specific service discovery, integration with existing IoMT systems, and so forth. In the literature, there have been a number of works in the IoT health-based paradigm, for example, a secure IoT healthcare-based paradigm that operates over the WBSN is introduced in [8]. Reliable crypto-primitives were used to build double communication techniques to guarantee transmission privacy and create entity authentication over sensors, the \(CN\) and the edge of the network (server). In [9], a review of the current research in the area of WBSNs, with a specific focus on low-power consumption, transmission reliability, latency, data rates, and security is presented. In addition, the authors considered the requirements and issues of WBSN in a traditional e-healthcare paradigm, in order to discover how such paradigms are capable of efficiently communicating with the home network. An accurate statistical in-body to off-body channel model which described the signal propagation between the antenna's transceiver is provided in [10]. Where their analysis based on 3D virtual human body model. In [11], the authors considered a new structure of e-healthcare IoT-based paradigms which is referred as a secure e-healthcare IoT-based paradigm utilizing for BSN-care. In [12], an end-to-end security system for non-static e-healthcare IoT-based paradigms is proposed. In their analysis, the authors utilise the concept of a fog layer in IoT for realising seamless mobility due to fog extending the cloud system to the edge of the network. The applications of IoT in the healthcare industry are surveyed and inspected in [13], which identified the intelligitization trend of future research in e-healthcare IoT-based paradigms. An on-body sensor device with solar energy harvesting with low power transmission model which is enabled the application of an autonomous WBSN is investigated in [14]. In addition, a web-based smartphone application has been developed for showing the gathered information. In [15], the impact of power control and packet size selection over a wireless medium on the performance of e-healthcare IoT-based paradigms is considered and investigated. In their study, they propose three different protocols: a power level decision, a power level and packet size decision, and a global link decision. A novel IoT-aware Smart Hospital System is designed and studied in [16]. The proposed paradigms are capable of appropriate management of emergency conditions. Interoperability remained a significant burden for the researchers and developers of the IoT scheme. As result, in [17], an IoT-based semantic interoperability model is proposed, which provides a semantic interoperability over heterogeneous IoT devices. Physicians communicate with their patients, and the information passed between them is semantically annotated and communicated in a meaningful way. Cloud computing (CC) for IoT has emerged as a new platform in the 21 st century. In [18], a new concept is established between CC and IoT: the cloud IoT-health (CC-IoT) paradigm. The term CC-IoT and several key integration challenges are considered to show a practical vision that integrates current mechanisms of CC and IoT in healthcare applications. In [19], a privacy protector is proposed, which protects the privacy of the data collected from the patient, where the Slepian-Wolf-coding-based secret sharing is utilized in Privacy Protector, which overcomes many types of security techniques. A type-2 fuzzy ontology-aided recommendation system for IoT-based healthcare to efficiently monitor the patient's body is proposed in [20]. Combining type-2 fuzzy logic and a fuzzy ontology greatly improved the prediction accuracy of a patient's situation and the accuracy rate for medicine and nutrition suggestions.