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Saadati, Z., Sajedi, H. (2019). Data Aggregation in Wireless Sensor Networks Based on Clustering and Minimum Spanning Tree. Electronic and Cyber Defense, 4(4), 293-300.
Z. Saadati; H. Sajedi. "Data Aggregation in Wireless Sensor Networks Based on Clustering and Minimum Spanning Tree". Electronic and Cyber Defense, 4, 4, 2019, 293-300.
Saadati, Z., Sajedi, H. (2019). 'Data Aggregation in Wireless Sensor Networks Based on Clustering and Minimum Spanning Tree', Electronic and Cyber Defense, 4(4), pp. 293-300.
Saadati, Z., Sajedi, H. Data Aggregation in Wireless Sensor Networks Based on Clustering and Minimum Spanning Tree. Electronic and Cyber Defense, 2019; 4(4): 293-300.

Data Aggregation in Wireless Sensor Networks Based on Clustering and Minimum Spanning Tree

علوم و فناوریهای پدافند نوین
Article 8, Volume 4, Issue 4 - Serial Number 14, February 2014, Pages 293-300    PDF (1.77 M)
Authors
Z. Saadati; H. Sajedi*
Receive Date: 30 January 2019,  Revise Date: 17 July 2025,  Accept Date: 30 January 2019 
Abstract
Wireless sensor networks afford the possibility to control remote monitoring of many environments (such as military ones) by hundreds of tiny sensor nodes. Restriction of energy consumption is a major challenge in these networks, which will affect the lifetime of the network. One of the key solutions to solving the challenge is data aggregation and avoiding of repeated data sending. The most popular communication protocols are clustering and tree based data aggregation. Clustering in data aggregation issue leads to energy balance, but energy consumption is high due to long distances between cluster heads and base station. In the tree structure, due to short distances between nodes, energy consumption is low but, the depth of the tree is usually high. In this paper, a hybrid analytical hierarchical process named CTDA is proposed in which energy consumption is reduced by clustering and minimum spanning tree for data aggregation in wireless sensor networks. The simulation of the proposed method illustrates reduction in energy consumption compared to two aformentioned protocols.
Keywords
Wireless Sensor Network; Data Aggregation; Clustering; Minimum Spanning Tree
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