TY - JFULL AU - N. Mahendran and R. Priya PY - 2016/4/ TI - Sleep Scheduling Schemes Based on Location of Mobile User in Sensor-Cloud T2 - International Journal of Computer and Information Engineering SP - 636 EP - 642 VL - 10 SN - 1307-6892 UR - https://publications.waset.org/pdf/10005768 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 111, 2016 N2 - The mobile cloud computing (MCC) with wireless sensor networks (WSNs) technology gets more attraction by research scholars because its combines the sensors data gathering ability with the cloud data processing capacity. This approach overcomes the limitation of data storage capacity and computational ability of sensor nodes. Finally, the stored data are sent to the mobile users when the user sends the request. The most of the integrated sensor-cloud schemes fail to observe the following criteria: 1) The mobile users request the specific data to the cloud based on their present location. 2) Power consumption since most of them are equipped with non-rechargeable batteries. Mostly, the sensors are deployed in hazardous and remote areas. This paper focuses on above observations and introduces an approach known as collaborative location-based sleep scheduling (CLSS) scheme. Both awake and asleep status of each sensor node is dynamically devised by schedulers and the scheduling is done purely based on the of mobile users’ current location; in this manner, large amount of energy consumption is minimized at WSN. CLSS work depends on two different methods; CLSS1 scheme provides lower energy consumption and CLSS2 provides the scalability and robustness of the integrated WSN. ER -