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http://hdl.handle.net/1942/31836
Title: | A Novel Approach for Efficient Management of Data Lifespan of IoT Devices | Authors: | Asiri, Mohammed Sheltami, Tarek Al-Awami, Louai YASAR, Ansar |
Issue Date: | 2020 | Publisher: | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Source: | IEEE INTERNET OF THINGS JOURNAL, 7 (5) , p. 4566 -4574 | Abstract: | Wireless sensor networks (WSNs) are mainly data-driven networks adopted to improve the Internet of Things (IoT) in terms of data throughput, energy efficiency, and self-management. Improving the data lifespan of WSN impacts the performance of the IoT. Achieving data reliability in applications of WSNs deployed in harsh environments is challenging due to the extreme constraints in resources of sensor nodes (SNs). Motivated by the inexpensive infrastructure of WSNs, a number of distributed storage systems have been proposed focusing on achieving data survivability rather than network reliability. In this article, we focus on data storage at the things layer (wireless sensors). We evaluate the performance of a number of distributed data storage systems (DDSSs) over WSN running over the ZigBee MAC protocol. Based on our findings, we introduce a new efficient-energy data dissemination scheme called data survivability with energy efficiency (DSwEE) that outperforms the existing schemes. We compare DSwEE against two prominent protocols in data storage, namely, decentralized erasure code for data survivability (DEC-DS) and decentralized erasure code encode-and-disseminate (DEC-EaD). Results show that DSwEE achieves better performance than both DEC-DS and DEC-EaD in terms of the energy consumption and data recoverability for localized failures, which improves the lifespan of the network. | Notes: | Sheltami, T (corresponding author), King Fahd Univ Petr & Minerals, Dept Comp Engn, Dhahran 31261, Saudi Arabia. maalasiri@nu.edu.sa; tarek@kfupm.edu.sa; louai@kfupm.edu.sa; ansar.yasar@uhasselt.be |
Other: | Sheltami, T (corresponding author), King Fahd Univ Petr & Minerals, Dept Comp Engn, Dhahran 31261, Saudi Arabia. maalasiri@nu.edu.sa; tarek@kfupm.edu.sa; louai@kfupm.edu.sa; ansar.yasar@uhasselt.be | Keywords: | Wireless sensor networks;Encoding;Internet of Things;Distributed databases;Relays;Redundancy;Routing;Data survivability;decentralized erasure codes (DEC);distributed data storage;Internet of Things (IoT);wireless sensor networks (WSNs) | Document URI: | http://hdl.handle.net/1942/31836 | ISSN: | 2327-4662 | e-ISSN: | 2327-4662 | DOI: | 10.1109/JIOT.2019.2955099 | ISI #: | WOS:000536066300077 | Rights: | Copyright 2020 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2021 |
Appears in Collections: | Research publications |
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