A comparative analysis of energy conservation approaches in hybrid wireless sensor networks data collection protocols

Abdul-Salaam, Gaddafi and Abdullah, Abdul Hanan and Anisi, Mohammad Hossein and Gani, Abdullah and Alelaiwi, Abdulhameed (2016) A comparative analysis of energy conservation approaches in hybrid wireless sensor networks data collection protocols. Telecommunication Systems, 61 (1). pp. 159-179. ISSN 1018-4864, DOI https://doi.org/10.1007/s11235-015-0092-8.

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Official URL: http://dx.doi.org/10.1007/s11235-015-0092-8


Wireless sensor network (WSN) has become part of human life as it is used in several applications including healthcare, environment and agricultural, public safety, military, transportation as well as in the industry. In spite of its usefulness, it is challenging to maintain long-term operations due to limited battery life. Several energy efficient protocols have been designed to prolong the network lifetime. The integration of mobility technology with the conventional static sensor network, described as hybrid WSN, promises a new solution that balances energy consumption among sensor nodes and extends the network lifetime. To the best of our knowledge, there has not been as yet an evaluation of the energy-efficiency of the data collection approaches in terms of the energy conservation techniques adopted. In this paper, the architecture of data collection approaches in WSN is discussed. Then, we propose and discuss a taxonomy of types of data collection in WSN. We further present and discuss in details a thematic taxonomy of energy conservation techniques adopted in the various hybrid WSN data collection approaches. Consequently, we compare the different energy conservation approaches that minimize energy consumption in hybrid WSN, highlighting their pros and cons. In conclusion, we point out open research challenges and future directions in the field.

Item Type: Article
Funders: Ministry of Education Malaysia (MOE) and Research Management Center (RMC) at Universiti Teknologi Malaysia (UTM): VOT NUMBER: Q.J130000.2528.06H00, University of Malaya: (UMRG Grant RG325-15AFR)
Uncontrolled Keywords: Hybrid wireless sensor network; Mobile sink; Data collection; Energy; Latency; Lifetime
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 13 Oct 2017 02:55
Last Modified: 12 Oct 2018 01:57
URI: http://eprints.um.edu.my/id/eprint/18007

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