Improving sensor-cloud : energy efficiency, security, sensory data transmission, and quality of service

Recently, induced by incorporating 1) the ubiquitous data gathering capabilities of wireless sensor networks (WSNs) as well as 2) the powerful data storage and data processing abilities of cloud computing (CC), Sensor-Cloud is attracting growing attention from both academia and industry. However, SensorCloud is still in its infancy and a lot of research efforts are expected to emerge in this area. Improving Sensor-Cloud, this thesis first presents the important research issues that are yet to be widely investigated by other researchers regarding the energy efficiency, security, sensory data transmission and quality of service (QoS) of Sensor-Cloud, respectively. Further, our accomplished work regarding solving the identified research issues is described. Particularly, two collaborative location-based sleep scheduling (CLSS) schemes are designed. Based on the locations of mobile users, CLSS dynamically determines the awake or asleep status of each sensor node to reduce energy consumption of the WSN integrated with mobile cloud. An authenticated trust and reputation calculation and management (ATRCM) system is introduced. ATRCM considers i) the authenticity of cloud service provider (CSP) and sensor network provider (SNP); ii) the attribute requirement of cloud service user (CSU) and CSP; iii) the cost, trust, and reputation of the service of CSP and SNP. A mechanism named TPSS is shown. TPSS consists of two main parts: 1) time and priority-based selective data transmission (TPSDT) for WSN gateway to selectively transmit sensory data to the cloud