An efficient cloud based routing models for smart devices in wireless human area network

Abstract

Wireless Body area networks (WBANs) is a technology gaining widespread attention for application in medical examination, monitoring and emergency therapy. The basic concept of WBAN is monitoring a set of sensors embedded inside the human body which allows transfer of essential parameters between the physician in charge and patient´s location. As body area network has certain characteristics, which impose new demands on performance evaluation of systems for communication and localization for medical sensors. However, realand#8208;time performance evaluation and localization in wireless body area networks is extremely challenging due to the impossibility of experimenting by inserting the devices within the human body. Due to the user- friendly behavior and pervasive based computing facilities, every one prefers the recent technologies which bring the communication between the people and the objects in secure closeness. Human body could transmit of about 10 mbps in a fraction of time. In order to provide these provisions, in this thesis, a proposed algorithm named Near Field Coupling algorithm for effective routing, scheduling of packet and secure transmission within the Wireless Human Area Network is proposed. As the result of this work, energy consumption with effective scheduling and routing of packets is obtained. This work is optimized and enhanced under the cloud environment. With the advancements in technology and computing environment capabilities, the number of devices that people carry has increased exponentially. This increase initially occurred as a result of necessity to monitor the human body condition due to chronic diseases, heart problems etc. Hence As another framework under this thesis work, an energy-efficient MAC Protocol especially for the human healthiness through Wireless Human Area Networks is presented. The framework includes transceiver and receiver of Human Area Network (HAN) protocol embedded in a body part of human to observe very important factors such as body temperature, movements or heart-rate. This network behaves like the master-slave architecture in which human body behaves like the slave node which systematically routes the sensor readings to the master router. In this thesis, we present a novel Adaptive Energy Efficient MAC Protocol (AEE-MAC) using the wireless Human area sensor networks for the applications of healthcare. This MAC protocol aids in designing low power architecture. As a result, the time complexity of the time slot management is reduced. This protocol is also implemented as part of the Soc and for the efficient routing algorithm. Although there is many advent technologies to facilitate the efficiency of communication there are some flaws in basis of securities. To address this concern, an optimal security solution for HAN protocol as a challenge in the field of medical science is also proposed. Also it is found the performance of proposed routing model for Wireless Human Area network is better than that of existing routing methods with respect to energy efficient and data transmission. The proposed model is compared with existing model and the comparative analysis report shows that the proposed models are efficient than the existing. The main contribution is achieved with HAN protocol. This model performs well with respect to computational time and reliability in the context of security. As another main contribution of the thesis a security model for secure authentication is proposed. The main key ideas proposed in this thesis achieved better accuracy in pervasive cloud environment.