EDVWDD: Event-Driven Virtual Wheel-based Data Dissemination for Mobile Sink-Enabled Wireless Sensor Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-021-03714-7.pdf
Reference30 articles.
1. Priyadarshi R, Gupta B, Anurag A (2020) Deployment techniques in wireless sensor networks: a survey, classification, challenges, and future research issues. J Supercomput:1–41
2. Ullah I, Youn H (2020) Efficient data aggregation with node clustering and extreme learning machine for wsn. J Supercomput 03
3. Tirani SP, Avokh A (2018) On the performance of sink placement in wsns considering energy-balanced compressive sensing-based data aggregation. J Netw Comput Appl 107:38–55
4. Palani U, Alamelumangai V, Nachiappan A (2016) Hybrid routing and load balancing protocol for wireless sensor network. Wirel Netw 22(8):2659–2666
5. Mehto A, Tapaswi S, Pattanaik KK (2019) A review on rendezvous based data acquisition methods in wireless sensor networks with mobile sink. Wirel Netw
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