Title
Energy-Efficient Neighbor Discovery for the Internet of Things
Abstract
Internet of Things (IoT) networks are usually distributed in nature. Due to the possible mobility of IoT devices, it is common and critical for each IoT device to keep discovering who is in its neighborhood, referred to as neighbor discovery. Due to the limited battery capacity of IoT devices, it is challenging to design a neighbor discovery protocol (NDP) that can achieve both low duty cycle and low discovery latency. In this article, we build a model called Circle to characterize the process of neighbor discovery in IoT networks. Then, we give a necessary and sufficient condition for neighbor discovery and theoretically prove its correctness. This is the first time in the research community that a necessary and sufficient condition is given for neighbor discovery. According to the necessary and sufficient condition, we analytically derive a lower bound of the worst case discovery latency and demonstrate when the lower bound can be achieved. The analytical model is generic as it can be used to analyze existing NDPs. Based on the Circle model and the analysis, we propose an NDP, which is also called Circle. We compare Circle with the state-of-the-art NDPs in a real testbed, and experimental results show that Circle is superior to the existing state-of-the-art NDPs.
Year
DOI
Venue
2020
10.1109/JIOT.2019.2949922
IEEE Internet of Things Journal
Keywords
Field
DocType
Internet of Things,Protocols,Analytical models,Probabilistic logic,Bluetooth,Batteries,Advertising
Efficient energy use,Computer science,Internet of Things,Computer network,Neighbor Discovery Protocol
Journal
Volume
Issue
ISSN
7
1
2327-4662
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Zhong Shen100.34
Hai Jiang22173139.46
Qingkuan Dong3205.29
Baocang Wang412428.60