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

Ahmedy, I. and Shehadeh, H.A. and Idris, M.Y.I. (2017) An Estimation of QoS for Classified Based Approach and Nonclassified Based Approach of Wireless Agriculture Monitoring Network Using a Network Model. Wireless Communications and Mobile Computing, 2017. pp. 1-14. ISSN 1530-8669

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Official URL: http://dx.doi.org/10.1155/2017/3626571

Abstract

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.

Item Type: Article
Uncontrolled Keywords: QoS; Classified Based Approach; Nonclassified Based Approach; Wireless Agriculture Monitoring Network; Network Model
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology > Dept of Computer System & Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 10 Jul 2017 04:22
Last Modified: 10 Jul 2017 04:22
URI: http://eprints.um.edu.my/id/eprint/17465

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