Nowadays, Unmanned Aerial Vehicles (UAVs) are widely deployed in many contexts (civilian and military). Real experiments using UAVs costly; therefore, the performances of systems should be analyzed before their deployments. Accordingly, researchers software engineers developed several simulations tools, environments frameworks for UAV evaluation. In this context, study highlights identifies most suitable simulators flights managements. This paper details requirements, goals, strengths...

Low Power Wide Area Networks (LPWAN) are becoming the powerful communication technologies of IoT tomorrow. LoRaWAN, SigFox, and NB-IoT three competing LPWAN technologies. On other hand, Smart Water Grid (SWG) is an emerging paradigm that promises to over come issues such as pipes leaks encountered by current water infrastructure deploying smart devices into for monitoring purposes. This paper firstly explores physical features above provides a comprehensive comparison between them well their...

Low Power Wide Area Networks (LPWANs) are becoming the most suitable communication technologies in Internet of Things (IoT) applications due to their low power consumption, long range and cost.Currently, Long Range Network (LoRaWAN) is one popular LPWANs.Because it offers possibility build private networks with an open standard, LoRaWAN deployed LPWAN solution.However, supports only one-hop communication, that is, end-devices connected directly gateways.Since LoRa links can be kilometers...

Water Pipeline Monitoring System (WPMS) is tremendously important considering the huge amount of water loss caused by leakages and other possible hydraulic failures. Accordingly, to design an accurate management represents a critical task that imposes serious study adequate planning especially in industrial domain. Internet Things (IoT) technology based on intelligent sensors physical objects networks implemented supervise Distribution cope with wastage during supply process. In this area,...

Underground Pipeline Monitoring System is a challenging task that requires serious study and deep investigation. Accordingly, monitoring pipelines in industrial domain for reliable water or gas transmission vital considering the huge amount of economic environmental losses caused by leakages. Hybrid techniques are employed to offer robust approach leak detection overcomes challenges traditional methods enhance localization process. In this paper, hybrid mechanism based on Real Time Transient...

Summary Water pipeline monitoring system becomes a relevant solution to cope with various hydraulic failures in order save the environment from water losses. In this respect, cognitive distribution (WDS) combines Internet of Things (IoT) technology Big Data generated by connected objects and devices for reliable structural health pipelines. Accordingly, designing scalable WDS smart leak detection localization requires serious study an adequate planning. paper, we suggest IoT‐based...

Water Pipeline Monitoring Systems have emerged as a reliable solution to maintain the integrity of water distribution infrastructure. Various emerging technologies such Internet Things, Physical Cyber Systems, and machine-to-machine networks are efficiently deployed build Structural Health pipeline invoke deployment Industrial Wireless Sensor Networks (IWSN) technology. Efficient energy consumption is imperatively required continuity network allow an adequate interconnection between sensor...

As a first step toward Smart Water Grid, we study the suitability of LoRaWAN for smart water metering. Due to huge number meters connect, perform pre-deployment studies understand capacity network. Accordingly, seek determine supported by single gateway. Under NS3, show that one LoRa gateway is able support approximately 1000 with about 92% packet delivery ratio. It also important note according our simulations, observe sensitive nodes.

In Smart Water Grid (SWG), smart water meters (SWMs) are installed in customers ' homes order to provide near-real-time consumption data. However, data collected by SWMs can reveal the user's privacy. this paper, we propose a user privacy protection scheme that relies on Blockchain technology and Machine Learning algorithm called k-means++. K-means++ is used group users into clusters and, each cluster has private record its members' We use pseudonyms mask users' identities Bloom filter for...

Internet of Things (IoT) is an emergent technology that provides a promising opportunity to improve industrial systems by the smartly use physical objects, systems, platforms and applications contain embedded communicate share intelligence with each other.In recent years, great range IoT have been developed deployed.Among these applications, Water Oil & Gas Distribution System tremendously important considering huge amount fluid loss caused leakages other possible hydraulic...

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL A Hierarchical Clustering Federated Learning-Based Blockchain Scheme for Privacy-Preserving Water Demand Prediction 17 Pages Posted: 13 May 2022 See all articles by Yandja LalleYandja Lalleaffiliation not provided SSRNMohamed Fouratiaffiliation SSRNLamia Chaari SSRNJoão Paulo Barracaaffiliation SSRN Abstract stress and water scarcity have become...

Internet of things has the ability to control and impact our physical world through technology by combining data collected from sensors databases along with mining computational intelligence analytics within IoT platforms. This is leading a new generation solutions based on cognition intelligent reasoning known as cognitive that will paving way deployment powerful tools. However, this susceptible heavy risks related security privacy vulnerabilities. In context, study identify computing...

Hydraulic failures in Water Pipeline System (WPS) can cause catastrophic environmental hazards. Wireless Sensor Networks (WSN) are greatly deployed to maintain a Structural Health Monitoring of pipeline and supervise the WPS. Since, its implementation increases significantly, energy consumption represents critical challenge that should be imperatively investigated order ensure an efficient seamless interconnection between sensor nodes. In this context, data aggregation techniques...

Wireless Sensor Networks (WSN) are widely deployed to maintain Structural Health Monitoring of Water Pipeline System (WPS). Accordingly, it is imperatively important ensure reliable communication between sensor nodes in harsh environment allow a continuous data collection and processing. In this context, we propose implement an energy efficient solution that enables seamless interconnection nodes, trusty transmission order maximize the network lifetime. After clustering step, Data Redundancy...

Water Pipeline Monitoring System (WPMS) is extremely important considering the several pipeline damages and various hydraulic failures that cause a critical water loss. In this context, Cognitive Distribution integrates Internet of Things (IoT) technology, based on smart sensors, actuators connected objects, with reliable Big Data processing for robust Structural Health (SHM) pipelines. paper, we propose cognitive IoT-based architecture where used Apache Spark framework to maintain real time...

Modern robots are already a common sight in our daily lives thanks to recent technology advancements. Particularly, assistive robotics has become fascinating area of study that may hold the key enhancing elderly persons. In this context, does comprehensive assessment literature analyze features and architectures several famous systems dedicated help