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

被引:9
|
作者
Marhoon, Haydar Abdulameer [1 ,2 ]
Mahmuddin, M. [2 ]
Nor, Shahrudin Awang [2 ]
机构
[1] Univ Karbala, Dept Comp, Coll Sci, Kerbala, Iraq
[2] Univ Utara Malaysia, InterNetWorks Res Lab, Sch Comp, Coll Arts & Sci, Sintok, Kedah, Malaysia
来源
SPRINGERPLUS | 2016年 / 5卷
关键词
Chain head selection; Deterministic chain-based routing protocol; Wireless sensor network; LIFETIME; EFFICIENT;
D O I
10.1186/s40064-016-3704-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:21
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