A novel energy harvesting with middle-order weighted probability (EHMoWP) for performance improvement in wireless sensor network (WSN)
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-021-03179-9.pdf
Reference43 articles.
1. Abdal-Kadhim AM, Leong KS (2020) Event priority driven dissemination EPDD management algorithm for low power WSN nodes powered by a dual source energy harvester. AEU Int J Electron Commun 113:152988
2. Afsar MM, Younis M (2019) A load-balanced cross-layer design for energy-harvesting sensor networks. J Netw Comput Appl 145:102390
3. Ahmed F, Kervadec C, Le Moullec Y, Tamberg G, Annus P (2019) Autonomous wireless sensor networks: implementation of transient computing and energy prediction for improved node performance and link quality. Comput J 62(6):820–837
4. Amgoth T, Jana PK (2015) Energy-aware routing algorithm for wireless sensor networks. Comput Electr Eng 41:357–367
5. Bhagat A, Geetha G (2020) Optimization of LEACH for developing effective energy-efficient protocol in WSN. International conference on innovative computing and communications. Springer, Singapore, pp 195–206
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