LoRaWAN is a widely used solution in today’s Internet of Things (IoT) applications to connect remote sensor nodes the Internet. At same time, microcontroller-based with increased processing capacities are increasingly becoming smart applied for performing machine learning tasks. We argue that has important connectivity limitations truly unleash potential these tiny nodes. position apply LoRa me...

To enhance the quality and speed of data processing protect privacy security data, edge computing has been extensively applied to support data-intensive intelligent services at edge. Among these services, ensemble learning-based can, in natural, leverage distributed computation storage resources devices achieve efficient collection, processing, analysis. Collaborative caching close source, orde...

Distributed Multi-Scale Data Processing for Sensor Networks by Raymond S. Wagner Wireless sensor networks provide a challenging application area for signal processing. Sensor networks are collections of small, battery-operated devices called sensor nodes, each of which is capable of sensing data, processing data with an onboard microprocessor, and sharing data with other nodes by forming a wire...

With the novel developments in Wireless Sensor Network (WSN) technologies, environmental data collection and processing services are applied diverse industrial scientific areas. However, energy limitations vulnerabilities of WSN nodes still main drawbacks technological area. Understanding utilization patterns helps to detect abnormal node behaviors prevent malicious nodes. In this study, we obs...

Information retrieval is an essential activity for extraction of information from unstructured data. This data uses simpler data model rather than traditional column database which is based on Boolean and Vector space model. There is need to focus on process like information gathering, observation and data encryption process for communication among sensor nodes. These sensor nodes play an impor...

Sparse matrices efficiently store structured information, particularly when represented in compressed formats. The advantages of using compressed formats rather than expanded representations are reduced storage space and faster computation achieved by avoiding processing the zero elements. We address the I70 bottleneck associated with the compression operation. We show that such bottleneck can ...

Mobile Edge Computing (MEC) assists clouds to handle enormous tasks from mobile devices in close proximity. The edge servers are not allocated efficiently according the dynamic nature of network. It leads processing delay, and dropped due time limitations. researchers find it difficult complex determine offloading decision because uncertain load condition over nodes. challenge relies on selecti...