Design of a Wireless Sensor Network-Based IoT Platform for Wide Area and Heterogeneous Applications

Kuo, Yaw-Wen; Li, Cho-Long; Jhang, Jheng-Han; Lin, Sam C.

doi:10.1109/jsen.2018.2832664

Cited by 125 publications

(52 citation statements)

References 25 publications

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“…DISCUSSION Complex networks are a widespread tool for the modeling of complex systems, they are used in many domains, including biology, communication, sociology, physics, economy, etc. [1]. In the recent years, a whole arsenal of measures was defined to study them.…”

Section: IIImentioning

confidence: 99%

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A Review of Sensor Node in Wireless Sensor Networks

Ashokkumar¹,

Jhapate²

2019

IJTSRD

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Wireless Sensor Networks (WSNs) are collection of tiny sensor nodes capable of sensing, processing and broadcasting data correlated to some occurrence in the network area. The sensor nodes have severe limitation, such as: bandwidth, short communication range, limited CPU processing facility, memory and energy. Enhancing the lifetime of wireless sensors network and efficient utilizations of bandwidth are essential for the proliferation of wireless sensor network in different applications. We provide an in-depth study of applying wireless sensor networks (WSNs) to real-world habitat monitoring. A set of system design requirements were developed that cover the hardware design of the nodes, the sensor network software, protective enclosures, and system architecture to meet the requirements of biologists. Although researchers anticipate some challenges arising in real-world deployments of WSNs, many problems can only be discovered through experience. We present a set of experiences from a four month long deployment on a remote island. We analyze the environmental and node health data to evaluate system performance. The close integration of WSNs with their environment provides environmental data at densities previously impossible. We show that the sensor data is also useful for predicting system operation and network failures. Based on over one million data readings, we analyze the node and network design and develop network reliability profiles and failure models.

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Section: IIImentioning

confidence: 99%

“…Since the nodes are frequently inaccessible, the life of a wireless sensor network depends on the lifetime of the energy resources of the sensor nodes. Energy is also a limited resource due to the dimensions restrictions [1]. Energy efficient announcement is very important to extend the sensor network lifetime.…”

Section: Introductionmentioning

confidence: 99%

A Review of Sensor Node in Wireless Sensor Networks

Ashokkumar¹,

Jhapate²

2019

IJTSRD

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“…S-MAC (Sensor-MAC) was the first WSN MAC protocol that implemented DC and remains one of the most popular [10]. A certain degree of heterogeneity is typically present in many WSN [11][12][13][14][15]. A common modeling approach for heterogeneous WSN is to define different classes of nodes, and with different traffic patterns [16].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Duty-Cycled MAC Protocols for Heterogeneous WSN with Priorities

et al. 2020

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Wireless Sensor Networks (WSN) have experienced an important revitalization, particularly with the arrival of Internet of Things applications. In a general sense, a WSN can be composed of different classes of nodes, having different characteristics or requirements (heterogeneity). Duty-cycling is a popular technique used in WSN, that allows nodes to sleep and wake up periodically in order to save energy. We believe that the modeling and performance evaluation of heterogeneous WSN with priorities operating in duty-cycling, being of capital importance for their correct design and successful deployment, have not been sufficiently explored. The present work presents a performance evaluation study of a WSN with these features. For a scenario with two classes of nodes composing the network, each with a different channel access priority, an approximate analytical model is developed with a pair of two-dimensional discrete-time Markov chains. Note that the same modeling approach can be used to analyze networks with a larger number of classes. Performance parameters such as average packet delay, throughput and average energy consumption are obtained. Analytical results are validated by simulation, showing accurate results. Furthermore, a new procedure to determine the energy consumption of nodes is proposed that significantly improves the accuracy of previous proposals. We provide quantitative evidence showing that the energy consumption accuracy improvement can be up to two orders of magnitude.

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“…The Wireless Sensor Network (WSN) significance is not only limited to the design of a stand-alone application, whereas today it is a sub-system of the internet of things (IoT) [1]. The IoT brings scalability into the WSN by connecting WSN nodes through gateways [2,3].…”

Section: Introductionmentioning

confidence: 99%

Survey: energy efficient protocols using radio scheduling in wireless sensor network

Mathew¹,

Jones²

2020

IJECE

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An efficient energy management scheme is crucial factor for design and implementation of any sensor network. Almost all sensor networks are structured with numerous small sized, low cost sensor devices which are scattered over the large area. To improvise the network performance by high throughput with minimum energy consumption, an energy efficient radio scheduling MAC protocol is effective solution, since MAC layer has the capability to collaborate with distributed wireless networks. The present survey study provides relevant research work towards radio scheduling mechanism in the design of energy efficient wireless sensor networks (WSNs). The various radio scheduling protocols are exist in the literature, which has some limitations. Therefore, it is require developing a new energy efficient radio scheduling protocol to perform multi tasks with minimum energy consumption (e.g. data transmission). The most of research studies paying more attention towards to enhance the overall network lifetime with the aim of using energy efficient scheduling protocol. In that context, this survey study overviews the different categories of MAC based radio scheduling protocols and those protocols are measured by evaluating their data transmission capability, energy efficiency, and network performance. With the extensive analysis of existing works, many research challenges are stated. Also provides future directions for new WSN design at the end of this survey.

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Design of a Wireless Sensor Network-Based IoT Platform for Wide Area and Heterogeneous Applications

Cited by 125 publications

References 25 publications

A Review of Sensor Node in Wireless Sensor Networks

A Review of Sensor Node in Wireless Sensor Networks

Modeling of Duty-Cycled MAC Protocols for Heterogeneous WSN with Priorities

Survey: energy efficient protocols using radio scheduling in wireless sensor network

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