DocumentCode :
1850389
Title :
Theoretical analysis of IPv6 stateless address autoconfiguration in Low-power and Lossy Wireless Networks
Author :
Montavont, Julien ; Cobarzan, Cosmin ; Noel, Thomas
Author_Institution :
ICube Lab., Univ. of Strasbourg, Strasbourg, France
fYear :
2015
fDate :
25-28 Jan. 2015
Firstpage :
198
Lastpage :
203
Abstract :
Low-power and Lossy Wireless Networks (LLN) is a crucial enabling technology for a broad range of applications that will touch everybody´s life and be driving forces for new businesses. Example of the rapidly emerging application domains are the Internet of Things, Smart Cities and Smart Homes. Recently, there is strong effort to provide LLN with IP connectivity. Supporting IP provides interoperability with existing IP devices and infrastructure together with the access to a large panel of tools for diagnostic, management and commissioning. However, enabling such solutions on LLN requires to optimize the IP communication stack. Among the features introduced by IP, the stateless address autoconfiguration is of particular importance as the success of IP is largely because of its ability to connect together networks of different sizes and types. In this article, we propose a complete evaluation of the stateless address autoconfiguration in LLN. Our theoretical analysis is based on neighbor discovery optimizations especially designed for LLN.
Keywords :
IP networks; Internet of Things; open systems; optimisation; personal area networks; IP communication stack; IPv6 stateless address autoconfiguration; Internet of Things; Smart Cities; Smart Homes; interoperability; lossy wireless networks; low-power wireless networks; neighbor discovery optimization; stateless address autoconfiguration; Context; Delays; IEEE 802.15 Standards; IP networks; Optimization; Topology; Unicast; 6LoWPAN; IPv6 Stateless Address Autoconfiguration; Neighbor Discovery; Theoretical Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing & Communication Technologies - Research, Innovation, and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on
Conference_Location :
Can Tho
Print_ISBN :
978-1-4799-8043-7
Type :
conf
DOI :
10.1109/RIVF.2015.7049899
Filename :
7049899
Link To Document :
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