To support emerging networked monitoring and data analytics applications, timely delivery of fresh information is critical importance for unmanned aerial vehicle (UAV) assisted collection in Internet Things (IoT) networks. Age (AoI) proposed as a performance metric to measure the freshness at destination since sampling source. In this paper, we employ concept age study UAV path planning acquisition problem by jointly considering mode selection, energy consumption each node, evolution...

The rapid development of the Internet Things gives rise to emergence delay-sensitive and computation-intensive applications. Due inherent long delay cloud computing limited resources at end devices, mobile edge is considered a promising approach meet stringent requirement such demanding To handle massive connection Things, 5G network shifting toward heterogenous architecture, where each device can access more than one server (e.g., base stations points). In presence multiple servers, this...

To support emerging real-time monitoring and control applications, the timeliness of computation results is critical importance to mobile-edge computing (MEC) systems. We propose a performance metric called age task (AoT) based on concept information (AoI), evaluate temporal value tasks. In this paper, we consider system consisting single MEC server one mobile device running several applications. study an minimization problem by jointly considering scheduling, offloading energy consumption....

To improve the operational efficiency of smart city, devices extract informative status updates from sampled image and video data to intelligently monitor surroundings. Mobile edge computing (MEC) is considered as an emerging technology provide energy-constrained with enhanced computation capability by offloading tasks nearby servers. In such circumstance, freshness obtained critical system performance, which can be characterized concept age information (AoI). Due resource contention among...

Vehicular edge computing (VEC) is considered as a promising technology to support emerging applications in vehicular networks by leveraging the ubiquitous resource at network edge. To leverage excessive power on road side units (RSUs) and neighboring vehicles, effective collaboration among vehicles between RSUs required. The high mobility of ad hoc nature networking introduce difficulties task scheduling reliable result feedback. In this paper, we study joint offloading allocation problem...

Driven by the vision of "intelligent connection everything" toward 6G, collective intelligence networked machines can be fully exploited to improve system efficiency shifting paradigm wireless communication design from naive maximalist approaches intelligent value-based approaches. In this article, we propose an on-purpose machine framework enabled joint communication, sensing, and computation (JCSC) technology, which employs semantics as interactive information flow. Naturally, there are...

Energy efficiency is essential for federated learning (FL) over mobile devices and its potential prosperous applications. Different from existing communication efficient FL research efforts, which regard energy consumption as the bottleneck, we have observed that with ever increasing wireless transmission speed (e.g., Wi-Fi 5 or 5G), of communications model updates in significantly reduced sometimes smaller than local on-device training. Motivated by such observations, this paper, propose a...

Fresh status updates are vital to the efficient operation of network monitoring and real-time control applications. In this paper, we consider a mobile edge computing (MEC)-assisted update system, where smart devices extract valuable from sensed data achieve timely awareness surroundings by exploiting computational resources at device server. To quantify freshness obtained executing computation tasks, employ concept age information (AoI) characterize timeliness updates. cope with limited...

With the evolution of cellular networks, 6G is a promising technology to provide ubiquity communications, computing, control, and consciousness (UC4) for 'human-machine-thing-genie' build ubiquitous intelligent mobile society. Genie, which can act as artificial intelligence assistance users, key enabler realize unprecedented transformation from Internet network intelligence. While Things (IoT) digital nervous system, genie acts like brain overall system. Supported by 6G, IoT will step into...

Abstract Unmanned aerial vehicles (UAVs) are employed as mobile relay nodes to enable timely remote monitoring by collecting information from devices and transferring the collected base station. The freshness of delivered is critical system performance, which can be quantified concept age (AoI). Nevertheless, fresher comes at cost higher energy consumption UAVs. Considering limited onboard energy, it essential strike a balance between required budget. here, both straight trajectory circular...

A UAV-assisted cellular network can provide ubiquitous links to everything and it is considered be one of the key technologies for 6G wireless networks. In this paper, we consider an uplink with a macrobase station (MBS) users. However, coverage equality edge users cannot guaranteed in scenarios where data service dense. Specifically, novel topology considered. UAVs are deployed upon cell serve poor communication quality. To avoid larger interference caused by overlapping area, locations...

To support emerging real-time monitoring and control applications, the timeliness of computation results is critical importance to mobile-edge computing (MEC) systems. We propose a performance metric called age task (AoT) based on concept information (AoI), evaluate temporal value tasks. In this paper, we consider system consisting single MEC server one mobile device running several applications. study an minimization problem by jointly considering scheduling, offloading energy consumption....

The computing architecture undergoes a trend toward heterogeneity, which introduces new challenge of task offloading scheduling in multi-server mobile edge system. Considering the inherent heterogeneity parallelism, this paper investigates interesting problem how to exploit parallelism and server by reasonably offloading. We jointly optimize decision resource allocation so as minimize system-wide computation overhead terms completion time energy consumption. Leveraging structure formulated...

Abstract Remote monitoring systems has emerged to automate public services, where Internet of Things (IoT) devices are deployed collect and relay streams status updates a remote control centre. The freshness collected data is critical importance system performance, which can be quantified by the concept age information (AoI). To obtain timely perception monitored area, each sensor tends sample at maximum frequency, may lead device drop‐outs due limited battery capacity. Simultaneous wireless...

In this paper, a cooperative communication network based on energy-harvesting (EH) decode-and-forward (DF) relays is proposed. For relay nodes, there harvest-storage-use (HSU) structure in system. And energy can be obtained from the surrounding environment through buffering. order to improve performance of system, opportunistic routing algorithm and generalized selection combining (GSC) are adopted addition, discrete-time continuous-state space Markov chain model (DCSMC), theoretical...

Solar Energy Storage Systems (SESS) are deployed to address the unstable and intermittent nature of photovoltaic (PV) systems by allowing swift adjustments system power. In such scenarios, freshness collected status updates is critical for controlling performance. This timeliness quantified through Age Information (AoI) metric. LoRa introduced SESS as a Low-Power Wide-Area Network technology (LPWAN) ensure reliable energy-efficient data transmission. We explore load monitoring employing...

Improving flight endurance limited by on-board energy is a critical issue in UAV-assisted communication systems. Due to the natural gliding capabilities of fixed-wing UAVs, aerodynamic forces can be leveraged reduce propulsion consumption. In this paper, we investigate UAV attitude control strategy optimize consumption for data collection. A dynamic model developed capture key effects on and trajectory UAV. Then, an minimization problem formulated with angle selection constraints collection...