P.B.Priyanka, S.Muthusundari, Manne Rajesh
Cloud computing is to integrate wireless sensor network(WSN) and mobile cloud to offer reliable data that are useful to mobile users from WSN to cloud. WSN provides data to the cloud and mobile users request data from cloud. WSN-MCC integration application support and needed to provide reliable data to mobile users. Due to limited wireless communication range the network is divided to subnetworks and its affect the usefulness of sensory data and reliability of WSN. In proposed model a WSN-MCC integration named TPSS consists two main parts: Time and Priority-Based selective data transmission(TPSDT) for WSN gateway to selectively transmit sensory data to cloud. Priority-Based Sleep Scheduling(PBSS) algorithm for save the energy consumption in reliable way and another scheme priority based packet scheduling send the data packets into priority queues. The real time packets are send to highest priority queue can pre-empt data in other queues and non-real time placed on other queues based on threshold processing time. TPSS will maintain by cloud and send priority table to each gateway send the request to particular sensor and data based on priority table. The Location-Based Sleep Scheduling algorithm will find their location for history table and then result of TPSS and LBSS is to improving usefulness of sensory data and reliability of WSN.
Wireless Sensor Network, Mobile Cloud Computing, Integration, usefulness, Reliability.