Wireless sensor network in precision agriculture: A survey

Deepika, G; Rajapirian, P

doi:10.1109/icetets.2016.7603070

Cited by 35 publications

(11 citation statements)

References 4 publications

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“…The application of IoT networks [13] is increasingly becoming part of the people lives, carrying out the control of complex systems [14], environmental monitoring [15], precision agriculture [16,17], digital farming [18], digital health [19], and smart homes. Several researches have employed IoT networks to collect big data for analysis and complex decision making.…”

Section: Related Workmentioning

confidence: 99%

A Standard-Based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring

Filho¹,

Fernando

Rabelo

et al. 2021

Sensors

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The environment consists of the interaction between the physical, biotic, and anthropic means. As this interaction is dynamic, environmental characteristics tend to change naturally over time, requiring continuous monitoring. In this scenario, the internet of things (IoT), together with traditional sensor networks, allows for the monitoring of various environmental aspects such as air, water, atmospheric, and soil conditions, and sending data to different users and remote applications. This paper proposes a Standard-based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring. The platform consists of an IoT network based on the IEEE 1451 standard which has the network capable application processor (NCAP) node (coordinator) and multiple wireless transducers interface module (WTIM) nodes. A WTIM node consists of one or more transducers, a data transfer interface and a processing unit. Thus, with the developed network, it is possible to collect environmental data at different points within a city landscape, to perform analysis of the communication distance between the WTIM nodes, and monitor the number of bytes transferred according to each network node. In addition, a dynamic model of data flow is proposed where the performance of the NCAP and WTIM nodes are described through state variables, relating directly to the information exchange dynamics between the communicating nodes in the mesh network. The modeling results showed stability in the network. Such stability means that the network has capacity of preserve its flow of information, for a long period of time, without loss frames or packets due to congestion.

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Section: Related Workmentioning

confidence: 99%

A Standard-Based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring

Filho¹,

Fernando

Rabelo

et al. 2021

Sensors

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“…The IoT is a vision of connecting all ‘things’ from every aspect of life including smart phones, household electronic equipment, smart vehicles [4], the smart electrical grid [5], smart home [6,7], smart campus [8,9], monitoring and gathering data from sensors or actuators deployed in agricultural contexts [10], and RFID tags [11] through a different set of networking technologies. The IoT is content-centric, and, most of the time, its users are more interested in getting updated content rather than the location of that content [12].…”

Section: Internet Of Things and Named-data Networking (In A Nutshell)mentioning

confidence: 99%

NINQ: Name-Integrated Query Framework for Named-Data Networking of Things

Rehman

Ullah

Kim

2019

Sensors

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Information-Centric Networking (ICN) is a paradigm shift from host-to-host Internet Protocol (IP)-based communication to content-based communication. In ICN, the content-retrieval process employs names that are given through different naming schemes such as hierarchical, flat, attribute, and hybrid. Among different ICN architectures, Named-Data Networking (NDN) has gained much interest in the research community and is actively being explored for the Internet of Things (IoT) and sensor networks, and follows a hierarchical naming format. NDN protocol follows a pull-based communication model where the content consumer gets content irrespective of the location of the content provider. The content provider in NDN and sensor networks can be considered to be a distributed database that monitors or controls the environment and caches the sensed data or controls information into their memory. The proposed Name-INtegrated Query (NINQ) framework for NDN-based IoT provides a flexible, expressive, and secure query mechanism that supports content retrieval as well as control and configuration command exchange among various nodes in a smart building. Different use cases are presented in this paper that expand on the behavior of proposed query framework in different scenarios. Simulation results of data collection and exchange of control commands show that proposed query framework significantly improves Interest Satisfaction Rate (ISR), Command Satisfaction Rate (CSR), energy efficiency, and average delay. Moreover, it is evident from the simulation results that proposed query framework significantly reduces the number of transmissions in the network in both data collection and exchange of control command scenarios, which improves the network performance.

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“…No practical results had been provided. [1] Researchers demonstrated the implementation of wireless sensor network algorithm in MAC layer. They selected the area 1km by 1km area for testing in simulation.…”

Section: Literature Reviewmentioning

confidence: 99%

Testing and Implementation of Different Wireless Sensor Net-work Algorithms in Agriculture Area

Awati¹,

Patil²,

Patil³

2018

IJET

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The paper demonstrates the Testing and Implementation of Different Wireless Sensor Network Algorithms in Agriculture Area. From this algorithm, it will be finalized that which algorithm is more suitable in agriculture area. Agriculture areas are large areas geographically, so to monitor agriculture parameters the wireless sensor networks are more suitable. Graham, Jevis, LPCN l algorithms explained and one personal algorithm implemented. All the results of algorithms are explained in the paper. The results are obtained using wireless network simulator.

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Wireless sensor network in precision agriculture: A survey

Cited by 35 publications

References 4 publications

A Standard-Based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring

A Standard-Based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring

NINQ: Name-Integrated Query Framework for Named-Data Networking of Things

Testing and Implementation of Different Wireless Sensor Net-work Algorithms in Agriculture Area

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