DocumentCode :
149655
Title :
Performance analysis of a distributed 6LoWPAN network for the Smart Grid applications
Author :
Dong Chen ; Brown, Jason ; Khan, Jamil Y.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
fYear :
2014
fDate :
21-24 April 2014
Firstpage :
1
Lastpage :
6
Abstract :
The Smart Grid communication networks need to serve a large number of devices distributed over a wide geographical area. The Smart Grid devices will generate different classes of traffic with varying Quality of Service (QoS) requirements. One of the key problems in a wide area network is the cost-effective connectivity to all devices which may be operating in an energy-constrained environment. In this paper, we propose a cluster-tree based 6LoWPAN (IPv6 over Low power Wireless Personal Area Networks) network for the Neighborhood Area Network (NAN) applications. To maximize the throughput and to minimize the packet latency in the NAN, we propose a staggered link design approach to support a beacon based 6LoWPAN distributed network architecture. An OPNET simulation model has been developed to analyze the performance of a NAN for smart meter and demand management data communications. Initial simulation results show that this staggered link design approach combined with a packet aggregation technique can significantly enhance the performance of a NAN.
Keywords :
IP networks; computer network performance evaluation; load management; personal area networks; power engineering computing; smart meters; smart power grids; IPv6 over low power wireless personal area networks; OPNET simulation; cluster tree; demand management data communication; distributed 6LoWPAN network; distributed network architecture; neighborhood area network; quality of service; smart grid application; smart meter; Analytical models; Data models; IP networks; Smart grids; Standards; Wide area networks; 6LoWPAN; IEEE 802.15.4; Neighborhood Area Network; OPNET; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4799-2842-2
Type :
conf
DOI :
10.1109/ISSNIP.2014.6827646
Filename :
6827646
Link To Document :
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