In WSN, sensors work with batteries. Sensors have only limited amount of energy in batteries. It is infeasible to recharge or replace batteries in case of discharge. It is necessary to schedule the activities of the sensors in WSN for Energy Efficient Coverage (EEC). By scheduling, the optimal sensor subsets are formed at each timeslot, which covers all the points of interest in the targeted area. So, the limited energy of the sensors can be saved, which prolongs the network lifetime in WSN. In this paper, we propose an Ant Colony Based-Sensor Scheduling (ACB-SS) algorithm in order to maximize the network lifetime and the energy coverage of the sensors. The probabilistic sensor detection model is also used. The proposed algorithm is compared with the traditional ACO. Simulation results are performed to verify the effectiveness of the proposed algorithm.
Cloud data storage has provided massive benefits by allowing users to store huge amount of data in costeffective manner. To protect the privacy of data stored in the cloud, cryptographic role-based access control (RBAC) scheme combined with context information have been proposed and developed ensuring the restricted access of the documents. The system holds role and context information that enables the upload and download of documents by legitimate users. The security mapper component filters the user information so as to perform adaptive secure document access in cloud.
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