Addressing Localization and Hole Identification Problem in Wireless Sensor Networks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0609-3_21
Reference21 articles.
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2. Reverter F (2018) 2—Interfacing sensors to microcontrollers: a direct approach. In: Nihtianov S, Luque A (eds) Smart sensors and MEMs, 2nd edn. Woodhead Publishing Series in Electronic and Optical Materials, Woodhead Publishing, pp 23–55. https://doi.org/10.1016/B978-0-08-102055-5.00002-4
3. Chen X (2020) Chapter 6—stochastic scheduling algorithms. In: Chen X (ed) Randomly deployed wireless sensor networks. Elsevier, pp 89–102. https://doi.org/10.1016/B978-0-12-819624-3.00011-2
4. Yousefi S, Derakhshan F, Aghdasi HS, Karimipour H (2020) An energy-efficient artificial bee colony-based clustering in the internet of things. Comput Electr Eng 86:106733
5. Chen J, Sackey SH, Anajemba JH, Zhang X, He Y (2021) Energy-efficient clustering and localization technique using genetic algorithm in wireless sensor networks. Complexity 2021
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