Energy-Efficient Control for an Unmanned Ground Vehicle in a Wireless Sensor Network

Alcaína, José; Cuenca, Ángel; Salt, J.; Zheng, Minghui; Tomizuka, Masayoshi

doi:10.1155/2019/7085915

Cited by 12 publications

(11 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 7 displays the electrical parameters on GUI. Both communication and wireless networks can be integrated to increase the capacity and decrease the costs in the access networks [22][23].…”

Section: System Implementationmentioning

confidence: 99%

Intelligent power monitoring and control with wireless sensor network techniques

Nayyef

Hussien

2020

IJEECS

View full text Add to dashboard Cite

<span>Undoubtedly, there is a necessity for establishing a more intelligent power system in the existing energy system, which is increased according to the development of wireless system network (WSN) and the Internet of Things (IoT). This study presents intelligent power monitoring and control with wireless sensor network techniques, based on WSNs and IoT technologies is designed to manage real-time power at buildings. This system includes a complete network of wireless sensing node, base station and a smart home gateway. A sensing node is utilized as wireless sensors to measure voltage and current and to calculate power consumption of connected appliances that are transmitted wirelessly to a base station via Zigbee node. A base station is designed to receive all data transmitted from the sensing node and display it through GUI available at the personal computer with the possibility of controlling ON and OFF appliances according to consumer requirements. All of these readings are stored at database for analysis. In addition, a smart home gateway is used to connect the system with internet, allowing consumers to continuous monitoring and remote control the appliances via a smartphone application. The benefit of this system is that the mechanism of appliances control can be done in different ways (manually, automatically and remotely). To ensure better accuracy of the equipment many appliances are tested and compared with practical measurement. Best results are obtained for the error, voltage, current and the power. </span>

show abstract

Section: System Implementationmentioning

confidence: 99%

Intelligent power monitoring and control with wireless sensor network techniques

Nayyef

Hussien

2020

IJEECS

View full text Add to dashboard Cite

show abstract

“…In this paper [24], author Jose et al proposed an energy-efficient solution using Unmanned Ground Vehicle for WSN. This approach includes event-triggered, packets based control, dual-rate controller, and Kalman filterbased prediction technique.…”

Section: Hanet Architecturementioning

confidence: 99%

Hanet: A Remote Sensing Airborne Architecture for Multi-Function Adhoc Networks Using SDN

Dhiman¹,

Kumar²,

Sharma³

2020

INDJCSE

View full text Add to dashboard Cite

Proliferation and advancements for electronic wireless technologies have converged and motivated many researchers to evaluate and design a more scalable, reliable, and secure Ad-hoc network for ordinary civilians. Incorporating wireless technologies in a network always caters to human's life more conveniently, relaxing, and self-driven, where human intervention is challenging and overwhelming. However, available Ad-hoc networks are very rigid, limited to changes, and tough to manage, which doesn't allow flexibility, scalability, security, and performance in many aspects. To address said issues, we have proposed a new promising Ad-hoc network called HANET aim to support scalability and programmability. The primary goal of this model is to maintain the multi-domains state of technologies while acting as a middleware for applications such as battlefield, emergency search, and rescue, border patrol, surgical strike, agriculture monitoring, disaster warning, patient monitoring, and many more. The proposed paradigm targets to reduce the general cost for these applications and customize as per user convenience. The principle architecture and design characteristics of this paradigm have been discussed in the next session of this paper. This model motivates and contributes too many other aspects of the Adhoc network. This architecture incorporates the efforts of Airborne (AN) for route discovery and SDN to extended Ad-hoc networks from any corner.

show abstract

“…With these restrictions is not viable to keep and ideal single frequency in the control loop. In the last years, remote trajectory control of autonomous vehicles 8,9 and efficient energy saving in networked based control systems [10][11][12] also required the use of MR systems. In every these cases, the control problem is that with the mentioned restricted frequency of measurement, far away from the ideal one, is not possible to assure the correct performance of the system.…”

Section: Introductionmentioning

confidence: 99%

A QFT approach to robust dual‐rate control systems

Baños

Salt

Casanova

2021

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

A dual-rate control system is a hybrid system composed of continuous-time and discrete-time elements with two sampling frequencies. In this work, a new frequency domain analysis and design approach, based on the quantitative feedback theory is developed, to cope with robust stability and robust tracking specifications. Tracking specifications are considered not only in the discrete-time but also in continuous-time, that allow a precise description of the intersample behavior (ripples), and characterization of frequencies below and beyond the Nyquist frequencies. Several illustrative examples and a case study has been developed.

show abstract

Energy-Efficient Control for an Unmanned Ground Vehicle in a Wireless Sensor Network

Cited by 12 publications

References 47 publications

Intelligent power monitoring and control with wireless sensor network techniques

Intelligent power monitoring and control with wireless sensor network techniques

Hanet: A Remote Sensing Airborne Architecture for Multi-Function Adhoc Networks Using SDN

A QFT approach to robust dual‐rate control systems

Contact Info

Product

Resources

About