Wide area ubiquitous network: the network operator's view of a sensor network

Saitō, Hiroshi; Kagami, Osamu; Umehira, Masahiro; Kado, Yuichi

doi:10.1109/mcom.2008.4689217

Cited by 51 publications

(23 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The errors in the estimated distances between sensors, however, would balance against each other; an estimate of the distance between some sensor pairs is smaller than the true one, while an estimate of the distance between other sensor pairs is larger than the true one. The errors in estimated distances between different sensor pairs would be more well-balanced as the number † Some proposals, such as a wide area ubiquitous network [14], aim at supporting such communication capability. of sensors increases.…”

Section: Proximity Estimation Between Sensorsmentioning

confidence: 99%

Localizing Sensors from Their Responses to Targets

Shioda

2015

IEICE Trans. Commun.

View full text Add to dashboard Cite

SUMMARYThe spatial relations between sensors placed for target detection can be inferred from the responses of individual sensors to the target objects. Motivated by this fact, this paper proposes a method for estimating the location of sensors by using their responses to target objects. The key idea of the proposal is that when two or more sensors simultaneously detect an object, the distances between these sensors are assumed to be equal to a constant called the basic range. Thus, new pieces of proximity information are obtained whenever an object passes over the area in which the sensors are deployed. This information is then be aggregated and transformed into a two dimensional map of sensors by solving a nonlinear optimization problem, where the value of the basic range is estimated together. Simulation experiments verify that the proposed algorithm yields accurate estimates of the locations of sensors.

show abstract

Section: Proximity Estimation Between Sensorsmentioning

confidence: 99%

Localizing Sensors from Their Responses to Targets

Shioda

2015

IEICE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…We have already developed a wide area ubiquitous network as a star-type wireless system [27]. In order to reliably connect locations such as those behind buildings and the edges of the coverage area, it is necessary to lower the transmission speed and the capacity.…”

Section: Features Of the Systemmentioning

confidence: 99%

High-Capacity Wireless Access Networks Using 920MHz Band for Wide-Area IoT/M2M Services

Akabane

Mochizuki

Teruhi

et al. 2016

IEICE Trans. Commun.

View full text Add to dashboard Cite

SUMMARYIn the near future, many sensors and terminals will be connected to the public network to provide various convenient IoT/M2M services. In order to connect many sensors to the network efficiently, wireless communication systems in the 920 MHz band are seen as attractive solutions. We are focusing on the 920 MHz band to research and develop highcapacity protocols that can accommodate many terminals, and low power consumption technologies for battery-driven terminals. In this paper, we describe the following three concrete wireless systems that use our proposals.(1) A physical distribution pallet management system that can handle thousands of pallet-embedded sensors and a wireless module with a battery lifetime of about ten years. (2) Water leakage monitoring system for underground pipes by using sensors and a wireless module in each valve box. (3) A wide-area and high-capacity radio relay system for smart metering services like the reading of gas meters. The radio relay system can accommodate various sensors and terminals and has large potential for providing various IoT/M2M services in conjunction with smart metering services. key words: IoT/M2M wireless access networks, 920 MHz Band, highcapacity protocol, IoT/M2M services

show abstract

“…Thus, ZigBee network is enough for energy scheduling, demand response and secondary control of frequency control in power systems. However, if faster response or wider range coverage is needed in the microgrid communication within a few seconds, more expensive and sophisticated communication means should be built such as the internet, CDMA or PLC-based network [17][18][19].…”

Section: Communication Networkmentioning

confidence: 99%

Hardware-in-the-Loop Simulation of Distributed Intelligent Energy Management System for Microgrids

Yoo

Chung

et al. 2013

Energies

View full text Add to dashboard Cite

Microgrids are autonomous low-voltage power distribution systems that contain multiple distributed energy resources (DERs) and smart loads that can provide power system operation flexibility. To effectively control and coordinate multiple DERs and loads of microgrids, this paper proposes a distributed intelligent management system that employs a multi-agent-based control system so that delicate decision-making functions can be distributed to local intelligent agents. This paper presents the development of a hardware-in-the-loop simulation (HILS) system for distributed intelligent management system for microgrids and its promising application to an emergency demand response program. In the developed HILS system, intelligent agents are developed using microcontrollers and ZigBee wireless communication technology. Power system dynamic models are implemented in real-time simulation environments using the Opal-RT system. This paper presents key features of the data communication and management schemes based on multi-agent concepts. The performance of the developed system is tested for emergency demand response program applications.

show abstract

Wide area ubiquitous network: the network operator's view of a sensor network

Cited by 51 publications

References 7 publications

Localizing Sensors from Their Responses to Targets

Localizing Sensors from Their Responses to Targets

High-Capacity Wireless Access Networks Using 920MHz Band for Wide-Area IoT/M2M Services

Hardware-in-the-Loop Simulation of Distributed Intelligent Energy Management System for Microgrids

Contact Info

Product

Resources

About