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Evolution of wireless sensor network design from technology centric to user centric: An architectural perspective

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  • Akhilendra Pratap Singh
  • Ashish Kr Luhach
  • Xiao-Zhi Gao
  • Sandeep Kumar
  • Diptendu Sinha Roy

Abstract

Wireless sensor networks form the crux of a wide range of automated applications that are gaining popularity with every passing day. The journey of wireless sensor networks has seen simple sensory monitoring to sensing-processing-actuation based end-to-end applications to the design and deployment of highly sophisticated service-oriented use cases. This highly disruptive field has seen rapid transformations to gain insights and assess the relative merits. Demerits of competing design strategies, it very important to know the evolutionary milestones this technology has undergone in achieving the state-of-the-art in this area. In this article, a systematic review is carried out that captures the evolution of architectural designs and developments in wireless sensor network–based applications. This review delves into the relative pros and cons of various epochs in developments and delineates the future areas of research in wireless sensor network design paradigm.

Suggested Citation

  • Akhilendra Pratap Singh & Ashish Kr Luhach & Xiao-Zhi Gao & Sandeep Kumar & Diptendu Sinha Roy, 2020. "Evolution of wireless sensor network design from technology centric to user centric: An architectural perspective," International Journal of Distributed Sensor Networks, , vol. 16(8), pages 15501477209, August.
    • Handle: RePEc:sae:intdis:v:16:y:2020:i:8:p:1550147720949138
    DOI: 10.1177/1550147720949138
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    References listed on IDEAS

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    1. Hongliang Zhu & Zhihua Zhang & Juan Du & Shoushan Luo & Yang Xin, 2018. "Detection of selective forwarding attacks based on adaptive learning automata and communication quality in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(11), pages 15501477188, November.
    2. Wu Jiawei & Qiao Xiuquan & Nan Guoshun, 2018. "Dynamic and adaptive multi-path routing algorithm based on software-defined network," International Journal of Distributed Sensor Networks, , vol. 14(10), pages 15501477188, October.
    3. Cong Du & Sujie Shao & Feng Qi & Luoming Meng, 2019. "Multi-requests satisfied based on energy optimization for the service composition in wireless sensor network," International Journal of Distributed Sensor Networks, , vol. 15(9), pages 15501477198, September.
    4. Giovanni Pau & Renato Ferrero & Ulf Jennehag & Haijun Zhang, 2019. "Emerging applications through low-power wireless technologies for Internet of Things," International Journal of Distributed Sensor Networks, , vol. 15(3), pages 15501477198, March.
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