Shuhang Chen
ABSTRACT
In large-scale Wireless Sensor Networks (WSNs), the use of clustering methods can respond quickly to queries, but the energy consumption of nodes in the network is unbalanced, and collisions may occur during the aggregation process, resulting in data loss. Although the use of serial aggregation methods can effectively avoid collisions, they cannot respond quickly to queries. We propose a new energy-saving Sector clustering data aggregation method called Fan Aggregation (FA). FA is a distributed adaptive method that combines the ideas of serial aggregation and clustering. FA extends the network lifespan and reduces query response time through the optimization of clustering and routing stages. In FA, the circular network is divided into two layers. In the first layer, the network is divided into multiple sectors. Each sector's nodes elect a CH (cluster head) through a CH election algorithm and form a chain with other nodes in the sector. In the second layer, the data inside the CH node of each sector is aggregated in series. This method of serial aggregation between nodes within a cluster, serial aggregation between CH nodes, and parallel aggregation between clusters, effectively reduces the network's query response time and network collisions while ensuring network scalability. This, in turn, extends the network's lifespan. And through OMNeT++ simulation, analysis and experimental results show that for large-scale wireless sensor networks, FA is superior to existing algorithms in terms of network life and FDN (First Death Node) indicators.
- Yunxia Chen and Qing Zhao, "On the lifetime of wireless sensor networks," in IEEE Communications Letters, vol. 9, no. 11, pp. 976-978, Nov. 2005, doi: 10.1109/LCOMM.2005.11010.Google Scholar
Cross Ref
- W. B. Heinzelman, A. P. Chandrakasan and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks," in IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660-670, Oct. 2002, doi: 10.1109/TWC.2002.804190.Google ScholarDigital Library
- N. S. Patil and P. R. Patil, “Data aggregation in wireless sensor networks,” in Proc. IEEE ICCIC, India, Dec. 2010.Google Scholar
- W. B. Heinzelman, A. P. Chandrakasan and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks," in IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660-670, Oct. 2002, doi: 10.1109/TWC.2002.804190.Google ScholarDigital Library
- S. Lindsey and C. S. Raghavendra, "PEGASIS: Power-efficient gathering in sensor information systems," Proceedings, IEEE Aerospace Conference, Big Sky, MT, USA, 2002, pp. 3-3, doi: 10.1109/AERO.2002.1035242.Google ScholarCross Ref
- S. A. Sert, A. Alchihabi and A. Yazici, "A Two-Tier Distributed Fuzzy Logic Based Protocol for Efficient Data Aggregation in Multihop Wireless Sensor Networks," in IEEE Transactions on Fuzzy Systems, vol. 26, no. 6, pp. 3615-3629, Dec. 2018, doi: 10.1109/TFUZZ.2018.2841369.Google ScholarDigital Library
- Merzoug M A, Boukerche A, Mostefaoui A, Spreading Aggregation: A distributed collision-free approach for data aggregation in large-scale wireless sensor networks[J]. Journal of Parallel and Distributed Computing, 2019, 125: 121-134.Google ScholarCross Ref
- S. Sasirekha and S. Swamynathan, "Cluster-chain mobile agent routing algorithm for efficient data aggregation in wireless sensor network," in Journal of Communications and Networks, vol. 19, no. 4, pp. 392-401, August 2017, doi: 10.1109/JCN.2017.000063.Google ScholarCross Ref
- Naghibi M, Barati H. SHSDA: secure hybrid structure data aggregation method in wireless sensor networks [J]. Journal of Ambient Intelligence and Humanized Computing, 2021, 12(12): 10769-10788.Google ScholarCross Ref
- Arghavani M, Esmaeili M, Esmaeili M, Optimal energy aware clustering in circular wireless sensor networks [J]. Ad Hoc Networks, 2017, 65: 91-98.Google ScholarDigital Library
- Tang F, You I, Guo S, A chain-cluster based routing algorithm for wireless sensor networks [J]. journal of intelligent manufacturing, 2012, 23: 1305-1313.Google Scholar
- Sheikhpour R, Jabbehdari S. A cluster-chain based routing protocol for balancing energy consumption in wireless sensor networks [J]. International Journal of Multimedia and Ubiquitous Engineering, 2012, 7(2): 1-16.Google Scholar
Index Terms
- A new Energy-Saving Sector Clustering Data Aggregation Method in Wireless Sensor Networks: Energy saving sector clustering data aggregation method
Recommendations
An energy efficient clustering method for wireless sensor networks
EHAC'07: Proceedings of the 6th WSEAS International Conference on Electronics, Hardware, Wireless and Optical CommunicationsWireless sensor networks have many sensor nodes with a limited energy in a limited area. One of key issues in wireless sensor networks is to prolong the network lifetime. In this paper, we propose a scheme to construct an energy-efficient cluster ...
An Energy Efficient Clustering Approach in Wireless Sensor Networks
ICCSEE '12: Proceedings of the 2012 International Conference on Computer Science and Electronics Engineering - Volume 01A wireless sensor network (WSN) consists of a large number of low-power micro-sensors. The data collected by each sensor is communicated through the network to a single sink node. Data gathering is a key work of the wireless sensor network. To prolong ...
Secure data aggregation in wireless sensor networks: A comprehensive overview
Wireless sensor networks often consists of a large number of low-cost sensor nodes that have strictly limited sensing, computation, and communication capabilities. Due to resource restricted sensor nodes, it is important to minimize the amount of data ...
Comments