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"Computational Intelligence Inspired Adaptive Opportunistic Clustering " by Premkumar Chithaluru, Fadi AL-Turjman et al. - Vimarsana News

"Computational Intelligence Inspired Adaptive Opportunistic Clustering " by Premkumar Chithaluru, Fadi AL-Turjman et al.

The major issues and challenges of the Industrial Internet of Things (IIoT) include network resource management, self-organization; routing, mobility, scalability, security, and data aggregation. Resource management in IIoT is a challenging issue, starting from the deployment and design of sensor nodes, networking at cross-layer, networking software development, application types, environmental conditions, monitoring user decisions, querying process, etc. In this paper, computational intelligence (CI) and its computing, such as neural networks and fuzzy logic, are used to tackle the challenges...

Source: uow.edu.au
"Data Collection in Multi-Hop Mobile Sink Aided Backscatter IoT Network" by Jia Fei, Kwan Wu Chin et al. - Vimarsana News

"Data Collection in Multi-Hop Mobile Sink Aided Backscatter IoT Network" by Jia Fei, Kwan Wu Chin et al.

This paper studies a novel wireless powered Internet of Things (IoT) network that consists of (a) a Hybrid Access Point (HAP) that charges devices and also helps facilitate backscattering transmissions, (b) devices that use active Radio Frequency (RF) and backscattering transmissions, and (c) a mobile data collector. Our aim is to maximize the amount of data received by the HAP and data collector. The main problem is to determine the charging duration of the HAP and link activation schedule of devices. We formulate a novel Mixed Integer Linear Program (MILP) and also propose a heuristic algori...

Source: uow.edu.au