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Cloud computing gained a lot of growth in the development of scientific and industrial domains due to its scalability, data analysis, portability, and storage abilities. The sensors and actuators facilitate wireless communication with real-time data gathering and local preprocessing. However, the huge amount of data collection and storage for such low powered nodes incurs the problem of reliability and efficient resource management. The technology of cloud computing provides an emerging paradigm for the sensors-based applications to improve processing, management, and storage of massive data. However, sensor nodes are organized and communicate in a distributed environment, which is harmful to network reliability and privacy. Recently, many solutions are presented for data transmissions in distributed systems through link-aware routing, but efficient utilization of network resources is still an open research issue. Also, most of the proposed solutions provide secure transmissions on the cost of computation and routing overhead. In this work, we propose a distributed and data reliability model for mobile edge-based sensor-cloud (DDR-ESC) to grow the data delivery performance and preserve the control of security. Moreover, edge-based communications with the cloud systems make the transmission intelligently and decrease the threshold of packets level overhead with high dependability. The extensive experiments validate the proposed model as compared to the state-of-the-art schemes.

DDR-ESC: A Distributed and Data Reliability Model for Mobile Edge-Based Sensor-Cloud