Wireless sensing and control for precision Green house management

Akshay, C.; Karnwal, Nitin; Abhfeeth, K. A.; Khandelwal, R. R.; Govindraju, Tapas; Ezhilarasi, D.; Sujan, Y.

doi:10.1109/icsenst.2012.6461735

Cited by 22 publications

(12 citation statements)

References 4 publications

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“…Garcia-Sanchez et al [34] controlled the power consumption in agriculture monitoring network by determining the optimal value of node events, BI of the network, and number of nodes in the network. These studies as same as many other studies such as in [13][14][15][16][17][18][19][20] used nonclassified based system (traditional agricultural monitoring system) to monitor the crops. Nonclassified based system treats all crops equally without classification.…”

Section: Classified Based Technique and The Proposed Methodologymentioning

confidence: 85%

“…These data are acquired from multiple sensors such as temperature sensor and humidity sensor. However, it is challenging to implement the existing WAMN architecture [13][14][15][16][17][18][19][20] in large scale and large distributed area. This is because the sensors are susceptible to high delays and high energy consumption during sensing, processing, and transmitting data over the dense and Wide Area Network.…”

Section: Introductionmentioning

confidence: 99%

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An Estimation of QoS for Classified Based Approach and Nonclassified Based Approach of Wireless Agriculture Monitoring Network Using a Network Model

Ahmedy

Shehadeh

Idris

2017

Wireless Communications and Mobile Computing

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Wireless Sensor Network (WSN) can facilitate the process of monitoring the crops through agriculture monitoring network. However, it is challenging to implement the agriculture monitoring network in large scale and large distributed area. Typically, a large and dense network as a form of multihop network is used to establish communication between source and destination. This network continuously monitors the crops without sensitivity classification that can lead to message collision and packets drop. Retransmissions of drop messages can increase the energy consumption and delay. Therefore, to ensure a high quality of service (QoS), we propose an agriculture monitoring network that monitors the crops based on their sensitivity conditions wherein the crops with higher sensitivity are monitored constantly, while less sensitive crops are monitored occasionally. This approach selects a set of nodes rather than utilizing all the nodes in the network which reduces the power consumption in each node and network delay. The QoS of the proposed classified based approach is compared with the nonclassified approach in two scenarios; the backoff periods are changed in the first scenario while the numbers of nodes are changed in the second scenario. The simulation results demonstrate that the proposed approach outperforms the nonclassified approach on different test scenarios.

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Section: Classified Based Technique and The Proposed Methodologymentioning

confidence: 85%

Section: Introductionmentioning

confidence: 99%

An Estimation of QoS for Classified Based Approach and Nonclassified Based Approach of Wireless Agriculture Monitoring Network Using a Network Model

Ahmedy

Shehadeh

Idris

2017

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Due to the cost effective nature and deployment flexibility, networks of tiny autonomous sensors capable of wireless communication, have been successfully used in a wide range of applications [1]- [3]. With the help of WSN a very precise knowledge of the evolution of an ecological system can be gained.…”

Section: Introductionmentioning

confidence: 99%

“…Highly Robustness for the interferences has made ZigBee [3] as a highly versatile and attractive technology among other short range wireless technologies.…”

Section: Introductionmentioning

confidence: 99%

“…Aim of this research work is to design develop and implement a wireless sensor based communication system [3], to monitor and control the agriculture parameters like temperature and humidity in real time for better management and maintenance of agriculture production and to prevent the sever attack of disease on the crops caused by the climate condition.…”

Section: Introductionmentioning

confidence: 99%

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