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DCBRP：一种用于无线传感器网络的基于确定性链的路由协议。

DCBRP: a deterministic chain-based routing protocol for wireless sensor networks.

作者信息

Marhoon Haydar Abdulameer, Mahmuddin M, Nor Shahrudin Awang

机构信息

College of Science, Computer Department, University of Karbala, Kerbala, Iraq ; InterNetWorks Research Lab, School of Computing, College of Arts and Sciences, Universiti Utara Malaysia, Sintok, Kedah Malaysia.

InterNetWorks Research Lab, School of Computing, College of Arts and Sciences, Universiti Utara Malaysia, Sintok, Kedah Malaysia.

出版信息

Springerplus. 2016 Nov 29;5(1):2035. doi: 10.1186/s40064-016-3704-1. eCollection 2016.

DOI:10.1186/s40064-016-3704-1
PMID:27995012
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5127929/
Abstract

BACKGROUND

Wireless sensor networks (WSNs) are a promising area for both researchers and industry because of their various applications The sensor node expends the majority of its energy on communication with other nodes. Therefore, the routing protocol plays an important role in delivering network data while minimizing energy consumption as much as possible. The chain-based routing approach is superior to other approaches. However, chain-based routing protocols still expend substantial energy in the Chain Head (CH) node. In addition, these protocols also have the bottleneck issues.

METHODS

A novel routing protocol which is Deterministic Chain-Based Routing Protocol (DCBRP). DCBRP consists of three mechanisms: Backbone Construction Mechanism, Chain Head Selection (CHS), and the Next Hop Connection Mechanism. The CHS mechanism is presented in detail, and it is evaluated through comparison with the CCM and TSCP using an ns-3 simulator.

RESULTS

It show that DCBRP outperforms both CCM and TSCP in terms of end-to-end delay by 19.3 and 65%, respectively, CH energy consumption by 18.3 and 23.0%, respectively, overall energy consumption by 23.7 and 31.4%, respectively, network lifetime by 22 and 38%, respectively, and the energy*delay metric by 44.85 and 77.54%, respectively.

CONCLUSION

DCBRP can be used in any deterministic node deployment applications, such as smart cities or smart agriculture, to reduce energy depletion and prolong the lifetimes of WSNs.

摘要

背景

无线传感器网络（WSNs）因其各种应用，对研究人员和行业来说都是一个很有前景的领域。传感器节点将其大部分能量消耗在与其他节点的通信上。因此，路由协议在传输网络数据的同时尽可能降低能耗方面起着重要作用。基于链的路由方法优于其他方法。然而，基于链的路由协议在链头（CH）节点仍消耗大量能量。此外，这些协议还存在瓶颈问题。

方法

一种新颖的路由协议，即确定性基于链的路由协议（DCBRP）。DCBRP由三种机制组成：骨干构建机制、链头选择（CHS）和下一跳连接机制。详细介绍了CHS机制，并使用ns-3模拟器通过与CCM和TSCP进行比较对其进行评估。

结果

结果表明，DCBRP在端到端延迟方面分别比CCM和TSCP性能优19.3%和65%，在CH能耗方面分别优18.3%和23.0%，在总体能耗方面分别优23.7%和31.4%，在网络寿命方面分别优22%和38%，在能量*延迟指标方面分别优44.85%和77.54%。

结论

DCBRP可用于任何确定性节点部署应用，如智慧城市或智慧农业，以减少能量消耗并延长无线传感器网络的寿命。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/05400fd254f7/40064_2016_3704_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/2827031e878d/40064_2016_3704_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/e7e577a5a685/40064_2016_3704_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/2afd3e688289/40064_2016_3704_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/56420b02d4f6/40064_2016_3704_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/a72b5a495de9/40064_2016_3704_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/d453d1a6e710/40064_2016_3704_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/4d9b73be75ba/40064_2016_3704_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/f2308bb4efcc/40064_2016_3704_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/c34b7ac3a1a4/40064_2016_3704_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/bbcad8e8733d/40064_2016_3704_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/05400fd254f7/40064_2016_3704_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/2827031e878d/40064_2016_3704_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/e7e577a5a685/40064_2016_3704_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/2afd3e688289/40064_2016_3704_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/56420b02d4f6/40064_2016_3704_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/a72b5a495de9/40064_2016_3704_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/d453d1a6e710/40064_2016_3704_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/4d9b73be75ba/40064_2016_3704_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/f2308bb4efcc/40064_2016_3704_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/c34b7ac3a1a4/40064_2016_3704_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/bbcad8e8733d/40064_2016_3704_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/5127929/05400fd254f7/40064_2016_3704_Fig11_HTML.jpg

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