Wireless networks have been widely deployed for many Internet-of-Things (IoT) applications, like smart cities and precision agriculture. Low Power Wide Area Networking (LPWAN) is an emerging IoT networking paradigm to meet three key requirements of i.e., low cost, large scale deployment high energy efficiency. Among all available LPWAN technologies, LoRa has attracted much attention from both academia industry, since it specifies open standard allows us build autonomous without any...

Content Caching at the edge of vehicular networks has been considered as a promising technology to satisfy increasing demands computation-intensive and latency-sensitive applications for intelligent transportation. The existing content caching schemes, when used in networks, face two distinct challenges: 1) Vehicles connected an server keep moving, making popularity varying hard predict. 2) Cached is easily out-of-date since each vehicle stays area short duration. To address these...

Driven by the tremendous application demands, Internet of Things (IoT) systems are expected to fulfill computation-intensive and latency-sensitive sensing computational tasks, which pose a significant challenge for IoT devices with limited ability battery capacity. To address this problem, edge computing is promising architecture where can offload their tasks servers. Current works on task offloading often overlook unique topologies schedules from devices, leading degraded performance...

The last few decades have witnessed an explosive growth of the Internet-of-Things (IoT) systems, which provide ubiquitous sensing and computing services. When adopted in industrial manufacturing environments, IoT is referred to as (IIoT), has attracted increasing research attention. Energy efficiency one most important topics green IIoT, 1) limited resource can significantly affect lifetime IIoT systems 2) massive sensors, devices, machines keep consuming a considerable amount energy, carbon...

The recent advances in microelectronics and communications have led to the development of large-scale Internet Things (IoT) networks, where tremendous sensory data is generated needs be processed. To support realtime processing for IoT, deploying edge servers with storage computational capability a promising approach. In this paper, we carefully analyze impacting factors key challenges node (EN) deployment. We then propose novel three-phase deployment approach which considers both traffic...

Content caching is a promising approach in edge computing to cope with the explosive growth of mobile data on 5G networks, where contents are typically placed local caches for fast and repetitive access. Due capacity limit caches, it essential predict popularity files cache those popular ones. However, fluctuated makes prediction highly challenging task. To tackle this challenge, many recent works propose learning based approaches which gather users' centrally training, but they bring...

Network function virtualization (NFV) has been considered as a promising technology for future Internet to increase the network flexibility, accelerate service innovation, and reduce Capital Expenditures Operational costs through migrating functions from dedicated devices commodity hardware. Recent studies reveal that although this migration of brings operation unprecedented flexibility controllability, NFV-based architecture suffers serious performance degradation compared with traditional...

Implementing federated learning (FL) algorithms in wireless networks has garnered a wide range of attention. However, few works have considered the impact user mobility on performance. To fill this research gap, we develop theoretical model to characterize hierarchical (HFL) algorithm where mobile users may roam across edge access points (APs), leading incompletion inconsistent FL training. We provide convergence analysis conventional HFL with mobility. Our proves that performance...

During the past decade, Industry 4.0 has greatly promoted improvement of industrial productivity by introducing advanced communication and network technologies in manufacturing process. With continuous emergence new networking facilities, especially rapid evolution cellular networks for 5G beyond, requirements smarter, more reliable, efficient services have been raised from 5.0 blueprint. To meet these increasingly challenging requirements, proactive effective allocation resources becomes...

LoRa has recently become one of the most promising networking technologies for Internet Things applications. Distant end devices have to use a low data rate reach gateway, which can cause long in-the-air transmission time and high energy consumption. Compared with using rate, they will drain batteries much earlier network may be broken. Such an unfairness mitigated by deploying more gateways, since it allows closer gateways higher rates. However, multiple not solve problem efficiently due...

With the remarkable development of 5G technologies, more and real-time complex computational tasks from Internet-of-Things (IoT) systems can be fulfilled by edge servers. While ultradense deployment is required for services, in upcoming era 6G with an even limited communication range, it almost impossible to achieve service coverage dense deployments. To address this fundamental limit, we propose EdgeGO, a mobile resource-sharing framework that employs servers provide cost-effective...

Federated learning (FL) has been employed for numerous privacy-sensitive applications, where distributed devices collaboratively train a global model. In industrial Internet of things (IIoT) systems, training latency is the key performance metric as automated manufacture usually requires timely processing. The existing works increase number effective to accelerate training. However, in IIoT systems are deployed densely; increasing clients can potentially cause serious interference and...

One fundamental problem of content caching in edge computing is how to replace contents servers with limited capacities meet the dynamic requirements users without knowing their preferences advance. Recently, online deep reinforcement learning (DRL)-based methods have been developed address this by an cache replacement policy using samples collected from continuous interactions (trial and error) environment. However, practice, data collection phase often expensive time-consuming, thus...

With the massive deployment of 5G cellular infrastructures, traffic prediction has become an indispensable part resource management system in order to provide reliable and fast communication services that can meet increasing quality-of-service requirements smart city. A promising approach for handling this problem is introduce intelligent methods implement a highly effective efficient model. Meanwhile, integrating multiaccess edge computing framework networks facilitates application models...

Federated Learning (FL) has been widely used to facilitate distributed and privacy-preserving machine learning in recent years. Different from centralized training that usually independent identically (IID) distribution of all users' data, FL suffers significant communication cost model performance degradation due the non-IID data individual edge devices. Existing work calibrates local models using a global anchor or sharing data. However, these studies either assume central server dataset...

The ZigBee communication can be easily and severely interfered by Wi-Fi traffic. Error recovery, as an important means for to survive interference, has been extensively studied in recent years. existing works add upfront redundancy in-packet blocks recovering a certain number of random corruptions. Therefore, the bursty nature corruptions under interference is often considered harmful, since some are full errors which cannot recovered have no but still requiring redundancy. As result, they...

Reprogramming is a crucial technique for software deployment and update in wireless sensor networks (WSNs). Bulk data dissemination an important building block enabling reprogramming. Dissemination reprogramming required to be fast energy efficient. Recent studies show that link correlation can have significant impact on the performance of bulk dissemination. In this paper, we propose correlated (CD), energy-efficient protocol WSNs. The main contribution CD it disseminates according novel...

The last decade has witnessed the rapid development of Internet Things (IoT). IoT applications are becoming more and computation-intensive latency-sensitive, which pose severe challenges for resource-constrained devices. To empower computational ability systems, edge computing emerges as a promising approach allows devices to offload their tasks servers. A major challenge, been overlooked by most existing works on task offloading, is dependencies among subtasks, can have significant impact...

Owning the merits of flexible networking, rapid deployment, strong line-of-sight communications and so on, Unmanned Aerial Vehicle (UAV) has been regarded as a promising technology for Fifth-Generation (5G) wireless network to realise its ambition ubiquitous connectivity support various applications, e.g., broadcasting/multicasting services. However, unique features UAV systems, highly agile mobility in three-dimensional space, significant size, weight power constraints, pose new challenges...

Abstract The Internet of Things (IoT) and Industrial 4.0 bring enormous potential benefits by enabling highly customised services applications, which create huge volume variety data. However, preserving the privacy in IoT against re-identification attacks is very challenging. In this work, we considered three main data types generated IoT: context , continuous media . We first proposed a stream anonymisation method based on k -anonymity for collected devices; then enhancing techniques both...