An Energy-Efficient Region-Based RPL Routing Protocol for Low-Power and Lossy Networks

被引:61
|
作者
Zhao, Ming [1 ]
Ho, Wang-Hei [2 ]
Chong, Peter Han Joo [3 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
[2] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Hong Kong, Hong Kong, Peoples R China
[3] Auckland Univ Technol, Dept Elect & Elect Engn, Auckland 1142, New Zealand
来源
IEEE INTERNET OF THINGS JOURNAL | 2016年 / 3卷 / 06期
基金
中国国家自然科学基金; 新加坡国家研究基金会;
关键词
Energy-efficiency; low-power and lossy networks (LLNs); point-to-point (P2P) communication; region-based; reliability; routing protocol (RPL);
D O I
10.1109/JIOT.2016.2593438
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Routing plays an important role in the overall architecture of the Internet of Things. IETF has standardized the RPL routing protocol to provide the interoperability for low-power and lossy networks (LLNs). LLNs cover a wide scope of applications, such as building automation, industrial control, healthcare, and so on. LLNs applications require reliable and energy-efficient routing support. Point-to-point (P2P) communication is a fundamental requirement of many LLNs applications. However, traditional routing protocols usually propagate throughout the whole network to discover a reliable P2P route, which requires large amount energy consumption. Again, it is challenging to achieve both reliability and energy-efficiency simultaneously, especially for LLNs. In this paper, we propose a novel energy-efficient region-based routing protocol (ER-RPL), which achieves energy-efficient data delivery without compromising reliability. In contrast of traditional routing protocols where all nodes are required for route discovery, the proposed scheme only requires a subset of nodes to do the job, which is the key of energy saving. Our theoretical analysis and extensive simulation studies demonstrate that ER-RPL has a great performance superiority over two conventional benchmark protocols, i.e., RPL and P2P-RPL.
引用
收藏
页码:1319 / 1333
页数:15
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