Topology Optimization in Wireless Sensor Networks for Precision Agriculture Applications

Konstantinos,; Apostolos,; Panagiotis,; George, .

doi:10.1109/sensorcomm.2007.4394974

Cited by 27 publications

(19 citation statements)

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“…Some of these ideas are based on topology type/size and sensors types to reduce the communication cost in WSN. Konstantinos et al [32] proposed multihop network to solve the problem of a long distance communications, but the system failed in power management as the routers should be active almost all the time. On the other hand, some of researches used a smart gateway between sensors and control center to reduce the communication cost as the gateways are used to increase the network efficacy by storing a copy of sensors' data.…”

Section: Classified Based Technique and The Proposed Methodologymentioning

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: 99%

“…For this reason, we propose a network model using nonconventional resources to power the network components. [32]. The costs to transmit the sensed data via these communication technologies are important in energy management strategy.…”

Section: Challenges Of Greenhouses Monitoring Networkmentioning

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

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“…Here the maximum utilization of sensing in each grid results to the efficient performance of the sensor network is comparatively done. The major applications of sensor network are weather forecasting, detecting extent animals at the forest, in battlefield and in agriculture field [9]. Where we may not expect the target area to be in a square shape as depicted in Figure 2.2.…”

Section: Relatedworkmentioning

confidence: 99%

Comparative Analysis of Different Deployment Techniques in Wireless Sensor Network

Thrimurthi¹,

Adithya²,

Thandavamurthi³

et al. 2017

IJEACS

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-In this communication era, wireless sensor network places a vital role. Wireless sensor network comprises of various types of sensor networks. Deployment of sensor nodes in wireless sensor network is a major concern to optimal result. There are various techniques in deploying the wireless sensor node. Among those some of the methods are, randomized method of deployment, grid based deployment, contour based deployment and projection based deployment. In this paper we are comparing all above methods and we show that projection based method out performs the rest of all othermethods.

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“…Konstantinos, Cano et al [15,16] argued that spatially similarity of agricultural fields such as soil structure, soil type and crops, can be used in the practical implementation of scarce network nodes. To assure sufficient field coverage, they further claimed that a field may be divided into zones, and every field 'zone' may be covered by at least one node.…”

Section: Related Workmentioning

confidence: 99%

Towards decision support model for ubiquitous agriculture

Haider

Aqeel-ur-Rehman

Durrani

2013

Eighth International Conference on Digital Information Management (ICDIM 2013)

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In the existing agriculture, critical decisions related to irrigation, fertilization and pesticides management are often left to farmers' discretion. They use irrelevant fertilizers and pesticides, and perform improper irrigation, which may lead disastrous effects on their crops. Different approaches have been proposed to enhance the Eco-sustainable agriculture, with a correct management of water resources and a calibrated use of pesticides by monitoring crops. However, most of the proposed solutions developed are location and problem dependent. In this paper, a scalable, cost effective, adaptable, and location independent model has been proposed to handle the challenges of existing agriculture. Various sensors and image capturing units have been used to assist our decision support system. Moreover, it has also been shown that our proposed model is adaptable for different conditions of weather, land and water.

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Topology Optimization in Wireless Sensor Networks for Precision Agriculture Applications

Cited by 27 publications

References 0 publications

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

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

Comparative Analysis of Different Deployment Techniques in Wireless Sensor Network

Towards decision support model for ubiquitous agriculture

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