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PFARS: Enhancing Throughput and Lifetime of Heterogeneous WSNs through Power-aware Fusion, Aggregation and Routing Scheme

Khan, Rahim; Zakarya, Muhammad; Tan, Zhiyuan; Usman, Muhammad; Jan, Mian Ahmad; Khan, Mukhtaj

Authors

Rahim Khan

Muhammad Zakarya

Muhammad Usman

Mian Ahmad Jan

Mukhtaj Khan



Abstract

Heterogeneous wireless sensor networks (WSNs) consist of resource-starving nodes that face a challenging task of handling various issues such as data redundancy, data fusion, congestion control, and energy efficiency. In these networks, data fusion algorithms process the raw data generated by a sensor node in an energy-efficient manner to reduce redundancy, improve accuracy, and enhance the network lifetime. In literature , these issues are addressed individually and most of the proposed solutions are either application-specific or too complex that make their implementation unrealis-tic, specifically, in a resource-constrained environment. In this paper, we propose a novel node level data fusion algorithm for heterogeneous WSNs to detect noisy data and replace them with highly refined data. To minimize the amount of transmitted data, a hybrid data aggregation algorithm is proposed that performs in-network processing while preserving the reliability of gathered data. This combination of data fusion and data aggregation algorithms effectively handle the aforementioned issues by ensuring an efficient utilization of the available resources. Apart from fusion and aggregation, a biased traffic distribution algorithm is introduced that considerably increases the overall lifetime of heterogeneous WSNs. The proposed algorithm performs the tedious task of traffic distribution according to the network's statistics, i.e., the residual energy of neighboring nodes and their importance from a network's con-nectivity perspective. All our proposed algorithms were tested on a real-time dataset obtained through our deployed heterogeneous WSN in an orange orchard, and also on publicly available benchmark datasets. Experimental results verify that our proposed algorithms outperform the existing approaches in term of various performance metrics such as throughput, lifetime, data accuracy, computational time and delay.

Citation

Khan, R., Zakarya, M., Tan, Z., Usman, M., Jan, M. A., & Khan, M. (2019). PFARS: Enhancing Throughput and Lifetime of Heterogeneous WSNs through Power-aware Fusion, Aggregation and Routing Scheme. International Journal of Communication Systems, 32(18), Article e4144. https://doi.org/10.1002/dac.4144

Journal Article Type Article
Acceptance Date Jul 31, 2019
Online Publication Date Oct 17, 2019
Publication Date 2019-12
Deposit Date Aug 10, 2019
Publicly Available Date Oct 18, 2020
Print ISSN 1074-5351
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 32
Issue 18
Article Number e4144
DOI https://doi.org/10.1002/dac.4144
Keywords heterogeneous wireless sensor networks; data fusion; data aggregation; nodes vulnerability and routing
Public URL http://researchrepository.napier.ac.uk/Output/2043429
Contract Date Aug 10, 2019

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Copyright Statement
This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.









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