This paper is concerned with the problem of filter design for target tracking over sensor networks. Different from most existing works on networks, we consider heterogeneous networks two types sensors different processing abilities (denoted as type-I and type-II sensors, respectively). However, questions how to deal heterogeneity a such kind remain largely unexplored.We propose in this novel distributed consensus solve problem. Two criteria, namely, unbiasedness optimality, are imposed...

Traffic monitoring in urban transportation systems can be carried out based on vehicular sensor networks. Probe vehicles (PVs), such as taxis and buses, floating cars (FCs), patrol for surveillance, act mobile sensors sensing the traffic send reports to a traffic-monitoring center (TMC) estimation. In TMC, are aggregated form matrix, which is used extract information. Since cannot cover all roads time, TMC needs estimate unsampled data matrix. As this matrix approximated of low rank,...

Most applications of underwater cyber-physical system (UCPS) demand reliable data collection in an efficient and timely manner. However, the energy-constrained characteristic on acoustic communication makes it challenging to collect data. In this paper, we study energy-efficient for UCPS over autonomous vehicle (AUV) assisted sensor network. The nodes perceive local physical parameters, whose lifetime is strictly restricted by power. AUV that has relatively sufficient energy adopted retrieve...

For data collection in large-scale wireless sensor networks (WSNs), dynamic clustering provides a scalable and energy-efficient solution, which uses cluster head (CH) rotation range assignment algorithms to balance the energy consumption. Nevertheless, most existing works consider routing as two isolated issues, is harmful connectivity efficiency of network. In this paper, we provide detailed analysis on relations between routing, then propose joint (JCR) protocol for reliable efficient WSN....

Ubiquitous monitoring over wireless sensor networks (WSNs) is of increasing interest in industrial cyber-physical systems (CPSs). Question how to understand a situation physical system by estimating process parameters largely unexplored. This paper concerned with the distributed estimation problem for automation relay-assisted WSNs. Different from most existing works on WSN homogeneous nodes, network considered this consists two types i.e., sensing nodes (SNs), which capable and computing,...

Most applications of underwater acoustic sensor networks (UASNs) rely upon reliable location information nodes. However, the harsh environment makes localization more challenging as compared to terrestrial networks. This paper is concerned with a issue for UASNs, subject clock asynchronization and node mobility. A hybrid architecture including autonomous vehicles (AUVs), active passive nodes designed, where AUVs act anchor provide In order eliminate effect asynchronous clocks compensate...

Growing attentions have been paid to renewable energy or hybrid powered heterogeneous networks (HetNets). In this paper, focusing on backhaul-aware joint user association and resource allocation for type of HetNets, we formulate an online optimization problem maximize the network utility reflecting proportional fairness. Since are tightly coupled not only consumption base stations (BSs), but also in constraints their available backhaul, closed-form solution is quite difficult obtain. Thus,...

Cyber-physical systems (CPS) are characterized by integrating cybernetic and physical processes. The theories applications of CPS face the enormous challenges. aim this paper is to provide a latest understanding emerging multi-disciplinary methodology. First, features described, research progresses summarized from different components in CPS, such as system modeling, information acquisition, communication, control security. Each part also followed future directions. Then some typical given...

In industrial automation, the state of process control could be monitored by spatially distributed sensors and 5G machine-type communication (MTC) enabled Internet things (IIoT). Thus, ultra-reliable MTC high-accurate estimation play important roles for ensuing system stabilization. However, it is challenging due to complex wireless environments limited resources. To address this issue, paper first presents a transmission-estimation codesign framework lay down foundation guaranteeing...

Localization is a critical issue for many location-based applications in the Internet of Underwater Things (IoUT). Nevertheless, asynchronous time clock, stratification effect, and mobility properties underwater environment make it much more challenging to solve localization issue. This article concerned with an autonomous vehicle (AUV)-aided IoUT. We first provide hybrid network architecture that includes surface buoys, AUVs, active passive sensor nodes. On basis this architecture, protocol...

In federated learning (FL), model training is distributed over clients and local models are aggregated by a central server. The performance of uploaded in such situations can vary widely due to imbalanced data distributions, potential demands on privacy protections, quality transmissions. this paper, we aim minimize FL delay wireless channels, constrained overall as well each client's differential (DP) requirement. We solve problem multi-agent multi-armed bandit (MAMAB) framework deal with...

This article studies the problem of distributed optimization in multiagent systems where each agent seeks to minimize sum all agents' objective functions using only local information. Under requirement security, needs keep its function private from other agents and potential eavesdroppers. We first prove impossibility guaranteeing convergence differential privacy simultaneously by perturbing states exact algorithms. Motivated this result, we design a completely algorithm, Distributed...

With the popularity of mobile devices and development computationally intensive applications, researchers are focusing on offloading computation to Mobile Edge Computing (MEC) server due its high computational efficiency low communication delay. As computing resources an MEC limited, vehicles in urban area who have abundant idle should be fully utilized. However, tasks faces many challenging issues. In this paper, we introduce a vehicular fog-edge paradigm formulate it as multi-stage...

As an emerging communication technology, time-sensitive networking (TSN) promises the real time and deterministic interaction of massive data in Industrial Internet Things. However, it is challenging to schedule flows timely superiorly through mechanism analysis for current TSN scheduling models, especially complex industrial scenarios. In this article, we propose approach flow sequences based on divisibility theory characterize conflicts dependencies, which derives flexibility position...

The deterministic and real-time communication is the indispensable requirement in Industrial Internet of Things (IIoT) application areas. Time-sensitive networking (TSN) a promising technology for this kind demands through designing proper scheduling routing mechanisms. However, it still challenging to design mechanisms large-scale instances due high computational complexity. In order guarantee schedulability scalability, learning-based scalable co-design (LSSR) architecture proposed article...

This work presents an H/sub /spl infin// controller design method for fuzzy dynamic systems based on techniques of piecewise smooth Lyapunov functions and bilinear matrix inequalities. It is shown that a continuous function can be used to establish the global stability with performance resulting closed-loop control laws obtained by solving set inequalities (BMIs). Two examples are given illustrate application proposed methods.

A mass of data generated by the widespread smart devices is transmitted through wireless communication networks for estimation and control in Industrial-Internet-of-Things (IIoT) systems. The frequent transmission needs to meet high reliability real-time demand IIoT applications because freshness status updates influences system performance. In this work, we use Age Information (AoI) characterize information since it a powerful metric capture randomness state updates. Meanwhile, AoI very...

This article studies the bearing-based formation tracking control problem of multiple double-integrator agents. A leader-following structure, where leader moves with reference dynamics, is adopted. Different from existing methods, which require complete information time-varying velocity, in this article, only orientation known by part followers and amplitude velocity unknown. To solve problem, proposes a velocity-estimation-based scheme, consists an estimator for estimating varying rate...

The emerging paradigm for dynamic spectrum sharing is based on allowing secondary users (SUs) to exploit white space frequency that not occupied by primary users. White database provides an opportunity SUs obtain availability information submitting a location-based query. However, this new can also be exploited the attackers significantly enhance their jamming capability due available channel from queries, which expected increasingly block SUs. challenge unique characteristics (e.g., lack of...

Connected vehicles can provide safer and more satisfying services for drivers by using information sensing sharing. However, current network architecture cannot support massive real-time data transmissions due to the poor-quality wireless links. To processing improve drivers' security, edge computing is regarded as a promising method offer efficient placing storage resources at edge. In this paper, we will introduce concept of edge-assistant connected propose some applications reduce traffic...

Usage-based insurance (UBI) is regarded as a promising way to provide accurate automotive rates by analyzing the driving behaviors (e.g., speed, mileage, and harsh braking/accelerating) of drivers. The best practice that has been adopted many programs protect users' location privacy use speed rather than GPS data. However, in this paper, we challenge approach presenting novel speed-based trajectory inference framework. basic strategy proposed framework motivated following observations. In...

This paper investigates the problem of target localization in underwater sensor networks, subjected to limited measurement range and accuracy. The process is mainly divided into two phases, i.e., distance estimation position solving. In first phase, some nodes cannot acquire direct measurements target, due high-dynamic strong-noise characteristics environment. Based on this, we formulate as a closed-loop control problem, then proportional-integral estimator designed for sensors information...

Industrial wireless sensor networks (IWSNs) are committed to bring the industry automation into era of Industry 4.0 by providing ubiquitous perception improve production efficiency. However, proliferation devices in industrial applications makes spectrum sharing limited industrial, scientific, and medical (ISM) band a challenging problem. In this paper, it is concerned with intrinsic impact evenness usage on performance terms channel accessing probability, utilization, fairness usage. order...

The cloud radio access network (C-RAN) has been deemed a cost-effective architecture for exploiting the capacity benefit of densely deployed points. low-latency fronthaul data transmission from central processor to small-cell base stations (SBSs) is key requirement in C-RANs which conventional wired links will be cost-prohibitive and also inconvenient. Therefore, scalable low-cost wireless solutions have drawn much attention both industry academia. In this paper, we propose adopting...

Summary Target localization, which aims to estimate the location of an unknown target, is one key issues in applications underwater acoustic sensor networks (UASNs). However, resource‐constrained property environment such as noise makes target localization a challenging problem. This paper considers consensus estimation‐based approach problem UASNs. To detect and acquire position hybrid architecture applied UASNs, where autonomous vehicles provide self‐location clock synchronization for...