For the next coming years, metaverse, digital twin and autonomous vehicle applications are leading technologies for many complex hitherto inaccessible such as health life sciences, smart home, agriculture, city, car logistics, Industry 4.0, entertainment (video game) social media applications, due to recent tremendous developments in process modeling, supercomputing, cloud data analytics (deep learning, etc.), communication network AIoT/IIoT/IoT technologies. is a crucial research field...

Wireless Sensor Network (WSN) is one of the key technologies 21st century, while it a very active and challenging research area. It seems that in next coming year, thanks to 6LoWPAN, these wireless micro-sensors will be embedded everywhere, because 6LoWPAN enables P2P connection between nodes over IPv6. Nowadays different implementations stacks are available so interesting evaluate their performance term memory footprint compliant with RFC4919 RFC4944. In this paper, we present survey on...

Cardiac arrhythmia is a class of serious heart diseases that threatens many people. Current arrhythmias diagnostic techniques seem to be partially efficient due the application limitations either in time or space. The paper presents real-time continuous detection system (RECAD) platform based on wireless sensor network technology. This provides long-term surveillance thanks low-resource and low power consumptions ambulatory ECG (AWES). Moreover, AWES compact friendly use, so it enables...

As the symptoms and signs of heart diseases that cause sudden cardiac death, arrhythmia has attracted great attention. Due to limitations in time space, traditional approaches arrhythmias detection fail provide a real-time c

In the context of Industry 4.0, analysis Internet-of-Things (IoT) data with business intelligence (BI) technologies has acquired high relevance. However, designing and implementing IoT-based BI applications is hard for several reasons. Therefore, we propose a novel conceptual model based on UML profiles model-driven architecture (MDA) modeling applications. Our approach provides highly readable models IoT, which are also compatible traditional models. Furthermore, it could help in...

Operating system (OS) technology is significant for the proliferation of wireless sensor network (WSN). With an outstanding OS; constrained WSN resources (processor; memory and energy) can be utilized efficiently. Moreover; user application development served soundly. In this article; a new hybrid; real-time; memory-efficient; energy-efficient; user-friendly fault-tolerant OS MIROS designed implemented. implements hybrid scheduler dynamic allocator. Real-time scheduling thus achieved with...

Precision agriculture has been considered as a new technique to improve agricultural production and support sustainable development by preserving planet resource minimizing pollution. By monitoring different parameters of interest in cultivated field, wireless sensor network (WSN) enables real-time decision making with regard issues such management water resources for irrigation, choosing the optimum point harvesting, estimating fertilizer requirements predicting crop yield more accurately....

The last few years have seen substantial progress in the field of smart objects (SOs): their number, diversity, performance and pervasiveness all been quickly increasing this evolution is expected to continue. To best our knowledge, little work has made leverage abundance resources develop assistive devices for Visually Impaired People (VIP). However, we believe that SOs can both enhance traditional functions (i.e. obstacle detection, navigation) offer new ways interacting with environment....

The rapid development of information and communication technologies wireless sensor networks has transformed agriculture practices. New tools methods are used to support farmers in their activities. This paper presents a context-aware system that automates irrigation decisions based on measurements. Automatic overcomes the water shortage problem, automatic measurements reduce observational work farmers. focuses method for developing systems using ontologies. Ontologies solve heterogeneity...

Energy efficiency and delay optimization are significant for the proliferation of wireless multimedia sensor network (WMSN). In this article, an energy‐efficient, delay‐efficient, hardware software cooptimization platform is researched to minimize energy cost while guaranteeing deadline real‐time WMSN tasks. First, a multicore reconfigurable designed implemented. This uses both heterogeneous architecture dynamic voltage frequency scaling (DVFS) technique. By means, nodes can adjust...

Memory and energy optimization strategies are essential for the resource-constrained wireless sensor network (WSN) nodes. In this article, a new memory-optimized energy-optimized multithreaded WSN operating system (OS) LiveOS is designed implemented. cost of optimized by using stack-shifting hybrid scheduling approach. Different from traditional OS in which thread stacks allocated statically pre-reservation, dynamically technique. As result, memory waste problems caused static...

DOI: 10.1049/cp:20061599 ISBN: 0 86341 644 6 Location: Hangzhou, China Conference date: 6-9 Nov. 2006 Format: PDF The urban public transportation systems are usually not appropriate for disabled, wheelchair and blind passengers (DWB). This paper introduces the MobiPlus system that aims at improving service so as to meet needs of DWB. is an intelligent wireless bus-station interactive with integration multi-wireless techniques (RFID, ZIGBEE, WiFi, GPS). It consists three subsystems: DWB...

Traditional embedded operation systems are resource consuming multitask, thus they not adapted for smart wireless sensors. This paper presents a super‐small distributed real‐time microkernel (SDREAM) dedicated to SDREAM is tuple‐based message‐driven kernel. It adopts meta language: Kernel Modeling Language define and describe the system primitives in abstract manner. The IPC processes synchronization based on LINDA concept: tuple model implemented by two light (SND: OUT & RCV: IN). In...

Memory optimization, energy conservation and fault tolerance are the essential research topics in wireless sensor network (WSN). In this paper, a real-time, memory-efficient, energy-efficient fault-tolerant WSN system LiveOS is designed implemented. Compared to other systems, has several typical features. On one hand, optimized Rate-Monotonic Scheduling (RMS) mechanism applied LiveOS. With mechanism, memory cost of multithreaded real-time operating (RTOS) can be decreased significantly. As...

Multithreaded operating system (OS) is essential to be used for many wireless sensor network (WSN) applications. However, the RAM consumption of multithreaded OS high. Thus, it infeasible apply on high constrained nodes (WNs). To address this challenge, several memory optimization strategies are investigated in paper. On one hand, subfunction-granularity thread switch and hybrid scheduling model proposed decrease stacks. other different dynamic allocation mechanisms presented reduce heap...

In view of requirements low-resource consumption and high-efficiency in real-time Ambulatory Electrocardiograph Diagnosis (AED) applications, a novel Cardiac Arrhythmias Detection (CAD) algorithm is proposed. This consists three core modules: an automatic-learning machine that models diagnostic criteria grades the emergency events cardiac arrhythmias by studying morphological characteristics ECG signals experiential knowledge cardiologists; rhythm classifier recognizes classifies heart...