Abstract: The mobile cloud computing (MCC) with wireless sensor networks (WSNs) is an emerging Technology gets attraction because they combine the data gathering ability of sensor nodes with the computational capacity of the cloud. This MCC-WSN technology improves the WSN performance level. For instance sensor, networks are lagging with its storage capacity and processing ability this can be overcome while implementing sensor with the cloud. The WSN-MCC is linked by the gateways, which is placed on both side i.e one is at sensor side and another one at cloud side. Compression takes place at sensor’s gateway and decompression in the cloud. The cloud not only store sensory data from nodes but it also simultaneously transfers information to a mobile user who sends the access data request. The most of the integrated sensor-cloud schemes fail to observe the following criteria: 1) mobile user location 2) One of the predominant issues in WSN is power consumption since most of them are equipped with non-rechargeable batteries 3) Load balancing with efficient coverage and connectivity. This paper focuses on above observations and introduces the novel approaches known as Load Balancing With Collaborative Location sleep scheduling with load balancing (LCLSS) Scheme. Both awake and asleep status of each sensor node dynamically devised by schedulers and the scheduling is done purely based on the of mobile users current location. Mostly the sensors are deployed in remote areas there replacing the battery is quite difficult, so it is necessary to reduce the power consumption. This can be achieved by using Proper Scheduling and Load balancing mechanism.
Keywords: Sleep Scheduling, Mobile cloud computing, wireless sensor network, integration, location, Discrete Point of Interest.
Title: COLLABRATIVE LOCATION BASED SLEEP SCHEDULING WITH LOAD BALANCING IN SENSOR-CLOUD
Author: R. Priya
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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