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

Abstract

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.

Fogcached-Ros: DRAM/NVMM Hybrid KVS Server with ROS Based Extension for ROS Application and SLAM Evaluation

“…Edge computing studies include those that focus on responsiveness [9], [18]- [21] and those that focus on reliability [22]. Responsiveness is enhanced by improving the caching algorithm of the objects in the data cache.…”

Cloud to cloud data migration using self sovereign identity for 5G and beyond

“…A secure transmission on the cost of computation and routing overhead is a problem for 5G/6G. Data privacy in 5G/6G networks is driving a distributed and data reliability model for mobile edge-based sensor-cloud (DDR-ESC) [ 16 ]. In another work, the authors suggested using fuzzy logic for a network to protect mobile traveler’s information in IoT [ 17 ].…”

Left-Right-Front Caching Strategy for Vehicular Networks in ICN-Based Internet of Things

“…A SERIOUS concentration has been made in the vehicular ad hoc network (VANET) technology [1], [2] since 1990s, and especially in the last decade, many advancements have been seen. Internet of Things (IoT) has been deployed (and being deployed) in various domains, such as agriculture [3], [4], healthcare [5]- [8], cloud computing [9], [10], edge computing [11], smart cities [12]- [14], smart homes [15], etc [16], [17]. However, VANETs in combination with IoT is a familiar research topic and has attracted attention from the research community at large [18].…”