An Intelligent Transportation Systems Architecture using Wireless Sensor Networks

Katiyar, Vivek; Kumar, Prashant; Chand, Narottam

doi:10.5120/1816-2369

Cited by 35 publications

(21 citation statements)

References 11 publications

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“…The IEEE 802.15.4 based ZigBee (ZigBee Alliance, 2004) and a ZigBee-like propriety networking protocol, XMesh (Crossbow, 2007a), among others, ported to some of the node hardware platforms, have made significant impact on a broad range of applications. Over a few years, many applications of WSN have appeared in areas such as building automation (ZigBee Alliance, 2006), (Kazmi et al, 2014), health care (ZigBee Alliance, 2008), defense and surveillance (He et al, 2006), (Sun et al, 2011), precision agriculture (Burrell et al, 2004), (Tim et al, 2007), (Keshtgari and Deljoo, 2012), (Wu et al, 2015), disaster management (Ahmad et al, 2011), transportation systems (Katiyar et al, 2011), (Felemban and Sheikh, 2014), and others (Li and Xiong, 2013), (Mehdipour et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Wireless Sensor and Actuator Network System for Greenhouse Microenvironment Control and Assessment

Pahuja¹,

Verma²,

Uddin³

2017

Journal of Biosystems Engineering

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Purpose: As application-specific wireless sensor networks are gaining popularity, this paper discusses the development and field performance of the GHAN, a greenhouse area network system to monitor, control, and access greenhouse microenvironments. GHAN, which is an upgraded system, has many new functions. It is an intelligent wireless sensor and actuator network (WSAN) system for next-generation greenhouses, which enhances the state of the art of greenhouse automation systems and helps growers by providing them valuable information not available otherwise. Apart from providing online spatial and temporal monitoring of the greenhouse microclimate, GHAN has a modified vapor pressure deficit (VPD) fuzzy controller with an adaptive-selective mechanism that provides better control of the greenhouse crop VPD with energy optimization. Using the latest soil-matrix potential sensors, the GHAN system also ascertains when, where, and how much to irrigate and spatially manages the irrigation schedule within the greenhouse grids. Further, given the need to understand the microclimate control dynamics of a greenhouse during the crop season or a specific time, a statistical assessment tool to estimate the degree of optimality and spatial variability is proposed and implemented. Methods: Apart from the development work, the system was field-tested in a commercial greenhouse situated in the region of Punjab, India, under different outside weather conditions for a long period of time. Conclusions: Day results of the greenhouse microclimate control dynamics were recorded and analyzed, and they proved the successful operation of the system in keeping the greenhouse climate optimal and uniform most of the time, with high control performance. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Keywords IntroductionThe wireless sensor network (WSN) is one of the upcoming, multidisciplinary, and pervasive computing technologies of the 21st century (Estrin et al., 2002). With its wide range of application potential, it is invading environments and bridging the gap between the real physical world of sensory data and the digital world of computers and internet. WSN is achieving the high-end goal of creating real sensor webs, which may be called the "next-generation internet" (Zhao and Guibas, 2004). A typical WSN consists of a number of sensor nodes, spatially distributed into an application environment, that cooperatively monitor the phenomenon of interest and communicate data to the gateway node via a low-power true-mesh multihop routing for end user access (Sohraby et al., 2007). Each sensor node is embedded with sensing, computing, and wireless communication capabilities to form a data collection network. The utility of WSN is further enhanced by integrating it with an actuator network...

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Section: Introductionmentioning

confidence: 99%

An Intelligent Wireless Sensor and Actuator Network System for Greenhouse Microenvironment Control and Assessment

Pahuja¹,

Verma²,

Uddin³

2017

Journal of Biosystems Engineering

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“…Like one author proposed a solution to improve the precise automobile location and get the mechanical information of vehicle status by the technology of wireless data communication and RFID technology [15]. In another article, the authors developed strategies to integrate different dynamic data into Intelligent Transportation Systems by using Wireless Sensor Networks [16].…”

Section: Iot Application Domainsmentioning

confidence: 99%

Modeling Smart Agriculture using SensorML

Arooj¹,

Asif²,

Shah³

2017

ijacsa

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Abstract-IoT is transforming the physical world into a digital world by connecting people and things. This paper describes state of the art domains where IoT is playing a key role. Smart agriculture is selected as a case study of IoT application domain. OGC sensor web enablement framework is studied and discussed its application for smart agriculture. This paper mainly focuses on modeling the smart agriculture system using SensorML of OGC. It also identified, developed and modeled few major components/sub-systems/systems required for smart agriculture. This study also demonstrated how SensorML can be utilized in modeling IoT enabled systems.

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“…Bhadra et al [16] applied agent-based fuzzy logic technology for traffic control situations involving multiple approaches and vehicle movements. In [17] the authors developed strategies to integrate different dynamic data into Intelligent Transportation Systems. Patrik et al [18] proposed a service-oriented architecture (SOA) for an effective integration of IoT in enterprise services.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology

Al-Sakran¹

2015

ijacsa

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Abstract-In recent years popularity of private cars is getting urban traffic more and more crowded. As result traffic is becoming one of important problems in big cities in all over the world. Some of the traffic concerns are congestions and accidents which have caused a huge waste of time, property damage and environmental pollution. This research paper presents a novel intelligent traffic administration system, based on Internet of Things, which is featured by low cost, high scalability, high compatibility, easy to upgrade, to replace traditional traffic management system and the proposed system can improve road traffic tremendously. The Internet of Things is based on the Internet, network wireless sensing and detection technologies to realize the intelligent recognition on the tagged traffic object, tracking, monitoring, managing and processed automatically. The paper proposes an architecture that integrates internet of things with agent technology into a single platform where the agent technology handles effective communication and interfaces among a large number of heterogeneous highly distributed, and decentralized devices within the IoT. The architecture introduces the use of an active radio-frequency identification (RFID), wireless sensor technologies, object ad-hoc networking, and Internet-based information systems in which tagged traffic objects can be automatically represented, tracked, and queried over a network. This research presents an overview of a framework distributed traffic simulation model within NetLogo, an agentbased environment, for IoT traffic monitoring system using mobile agent technology.

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An Intelligent Transportation Systems Architecture using Wireless Sensor Networks

Cited by 35 publications

References 11 publications

An Intelligent Wireless Sensor and Actuator Network System for Greenhouse Microenvironment Control and Assessment

An Intelligent Wireless Sensor and Actuator Network System for Greenhouse Microenvironment Control and Assessment

Modeling Smart Agriculture using SensorML

Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology

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