Wireless rechargeable sensor networks (WRSNs) have emerged as an alternative to solving the challenges of size and operation time posed by traditional battery-powered systems. In this paper, we study a WRSN built from industrial wireless identification sensing platform (WISP) commercial off-the-shelf RFID readers. The paper-thin WISP tags serve sensors can harvest energy RF signals transmitted This kind WRSNs is highly desirable for indoor activity recognition gaining attention in research...

Wireless sensor and actuator networks (WSANs) bring many benefits to industrial automation systems. When a control system is integrated by WSAN, particularly if the network scale large, distributed communication methods are quite necessary. However, unreliable wireless multihop communications among sensors actuators cause challenges in designing such This paper proposes evaluates new estimation collaborative scheme for systems with WSANs. Extensive results show that proposed method...

This paper deals with the problem of robust stabilization for uncertain systems multiple state delays. The parameter uncertainties are time-varying and unknown but norm-bounded, delays time-varying. A new method achieving is presented a class time-delay via linear memoryless feedback control. results depend on size given in terms several matrix inequalities.

A promising technology that tackles the conflict between spectrum scarcity and underutilization is cognitive radio (CR), of which sensing one most important functionalities. The use dedicated sensors an emerging service for sensing, where multiple perform cooperative sensing. However, due to energy constraint battery-powered sensors, efficiency arises as a critical issue in sensor-aided CR networks. An optimal scheduling each sensor active time can effectively extend network lifetime. In...

This paper considers joint problems of control and communication in wireless sensor actuator networks (WSANs) for building-environment systems. In traditional systems, centralized (CC) distributed (DC) are two major approaches. However, little work has been done comparing the approaches communication, particularly WSANs serving as components loops. this paper, we develop a CC scheme which decisions made based on global information DC enables actuators to make locally. We also methods that...

The barrier coverage problem in emerging mobile sensor networks has been an interesting research issue due to many related real-life applications. Existing solutions are mainly concerned with deciding one-time movement for individual sensors construct as barriers possible, which may not be suitable when there no sufficient form a single barrier. In this paper, we aim achieve the scarcity scenario by dynamic patrolling. Specifically, design periodic monitoring scheduling (PMS) algorithm each...

As the binary sensing model is a coarse approximation of reality, probabilistic has been proposed as more realistic for characterizing region. A point covered by sensor networks under if joint probability from multiple sensors larger than predefined threshold ε. Existing work focused on coverage since it extremely difficult to verify full continuous area (i.e., coverage). In this paper, we tackle such challenging problem. We first study probabilities two points with distance d and obtain...

We study the problem of minimum-number full-view area coverage in camera sensor networks, i.e., how to select minimum number sensors guarantee a given region. Full-view is challenging because 2-D continuous domain has be considered. To tackle this challenge, we first intrinsic geometric relationship between and point prove that can guaranteed, as long selected ensuring set points covered. This leads significant dimension reduction for problem. Next, NP-hard propose two approximation...

In this paper, we present a novel tracking controller for class of uncertain nonaffine systems with time-varying asymmetric output constraints. Firstly, the original constrained (in sense signal) control system is transformed into output-feedback problem an unconstrained affine in normal form. As result, stabilization sufficient to ensure constraint satisfaction. It subsequently shown that achieved without violation predefined Therefore, are capable quantifying performance bounds as...

In this paper, adaptive neural control is investigated for a class of unknown multiple-input multiple-output nonlinear systems with time-varying asymmetric output constraints. To ensure constraint satisfaction, we employ system transformation technique to transform the original constrained (in sense restrictions) into an equivalent unconstrained one, whose stability sufficient solve problem. It shown that tracking achieved without violation constraint. More specifically, can shape...

In this paper, we formulate a flow control optimization problem for wireless sensor networks with lifetime constraint and link interference in an asynchronous setting. Our formulation is based on the network utility maximization framework, which general function used to characterize performance such as throughput. To solve problem, propose fully distributed algorithm dual decomposition, theoretically prove its convergence. The proposed can achieve maximum utility. Extensive simulations are...

A two-hop neighborhood information-based routing protocol is proposed for real-time wireless sensor networks. The approach of mapping packet deadline to a velocity adopted as that in SPEED; however, our decision made based on the novel integrated with energy balancing mechanism. Initiative drop control embedded enhance utilization efficiency, while reducing miss ratio. Simulation and comparison show new has led lower ratio higher efficiency than two existing popular schemes. result also...

This paper proposes a novel cooperative charging strategy for smart station in the dynamic electricity pricing environment, which helps electric vehicles (EVs) to economically accomplish task by given deadlines. allows EVs share their battery-stored energy with each other under coordination of an aggregator, so that more flexibility is aggregator better scheduling. Mathematically, scheduling problem formulated as constrained mixed-integer linear program (MILP) capture discrete nature battery...

Networked cyber-physical systems (NCPS), where control and communication are closely integrated, have been envisioned to a large number of high-impact applications. In this paper, joint optimization framework is presented, which combines the objective as well other relevant system objectives constraints such errors, delays limited capabilities (e.g., energy capacities) devices. The problem solved by an online approach, consists protocol simulated annealing based algorithm. Meanwhile, taking...

We consider the problem of gathering correlated sensor data by a single sink node in wireless network. assume that nodes are energy constrained and design efficient distributed protocols to maximize network lifetime. Many existing approaches focus on optimizing routing layer only, but fact strategy is often coupled with power control physical link access MAC layer. This paper represents first effort lifetime maximization jointly considers three layers. probabilities known joint optimal...

In this paper, we consider the issue of data broadcasting in mobile social networks (MSNets). The objective is to broadcast from a superuser other users network. There are two main challenges under paradigm, namely 1) how represent and characterize user mobility realistic MSNets; 2) given knowledge regular users' movements, design an efficient route actively. We first explore several sets reveal both geographic regularities human mobility, further propose concepts geocommunity geocentrality...

Nonlinear degradation trajectories are encountered frequently, and not all of them evolve homogeneously in practical systems. To take nonlinearity, heterogeneity, the entire historical data into account, we propose a nonlinear heterogeneous Wiener process model with an adaptive drift to characterize trajectories. A state-space based method is employed delineate our model. Due introduction drift, it difficult directly apply Kalman filter methods update distribution estimated drift. address...

This paper presents a novel state-feedback control scheme for the tracking of class multi-input multioutput continuous-time nonlinear systems with unknown dynamics and bounded disturbances. First, law consisting robust integral neural network (NN) output plus sign error feedback multiplied an adaptive gain is introduced. The NN in learns system online manner, while residual reconstruction errors disturbances are overcome by signal. Since both signal included integral, continuity input...

This paper deals with the power capture control of variable-speed wind energy conversion systems. The objective is to optimize by tracking desired output. Arbitrary steady-state performance achieved in sense that error guaranteed converge any predefined small set. In addition, maximize capture, transient enhanced such convergence rate can be larger than an arbitrary value, which further limits maximum overshoot. First, adaptive controller designed for case where known aerodynamic torque...

We propose a model of battery switching station (BSS) for electric buses (EBs) that captures the predictability bus operation. schedule charging in BSS so every EB arrives to find ready switching. develop an efficient algorithm compute optimal schedule. It uses dual decomposition decouple decisions at different boxes independent subproblems can be solved parallel individual boxes, making inherently scalable as size grows. direct projection method solves these rapidly. Numerical results...

This brief presents a novel power control strategy for variable-speed wind turbines equipped with doubly fed induction generators (DFIGs). The objective is to optimize the extracted from while regulating stator reactive meet grid requirements. First, in order power, an adaptive technique designed drive electromagnetic torque follow its reference generated by maximum point tracking algorithm. Subsequently, aiming at satisfying requirements on side, controller proposed manipulate given desired...