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- W4385727316 abstract "Abstract Wireless Sensor Networks (WSNs) play a pivotal role in a wide range of appli- cations, including environmental monitoring, surveillance, and healthcare. This research paper presents the development and implementation of Dynamic Energy- efficient Adaptive Routing (DEAR), a novel and robust routing protocol for WSNs. DEAR combines hierarchical clustering and data-centric approaches to achieve energy efficiency, adaptability to dynamic topologies, and fault toler- ance. The paper provides an in-depth analysis of DEAR’s algorithmic design, implementation process using C + + on the NS-3 simulation framework, and the resolution of technical challenges faced during development. Through extensive simulations, DEAR is compared with existing protocols, demonstrating its supe- riority in terms of energy consumption, network lifetime, and packet delivery ratio. The paper’s technical depth and detailed evaluation highlight DEAR’s abil- ity to overcome limitations of traditional routing solutions, making it a promising candidate for enhancing the performance and reliability of WSNs in practical scenarios." @default.
- W4385727316 created "2023-08-11" @default.
- W4385727316 creator A5092470724 @default.
- W4385727316 date "2023-08-10" @default.
- W4385727316 modified "2023-09-27" @default.
- W4385727316 title "Designing a Robust and Efficient Routing Protocol for Wireless Sensor Networks" @default.
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- W4385727316 doi "https://doi.org/10.21203/rs.3.rs-3221257/v1" @default.
- W4385727316 hasPublicationYear "2023" @default.
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