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Open Access

SET: Session Layer-Assisted Efficient TCP Management Architecture for 6LoWPAN with Multiple Gateways

  • Saima Zafar1Email author,
  • Ali Hammad Akbar2,
  • Sana Jabbar3 and
  • Noor M. Sheikh1
EURASIP Journal on Wireless Communications and Networking20102010:936457

Received: 12 March 2010

Accepted: 15 September 2010

Published: 19 September 2010


6LoWPAN (IPv6 based Low-Power Personal Area Network) is a protocol specification that facilitates communication of IPv6 packets on top of IEEE 802.15.4 so that Internet and wireless sensor networks can be inter-connected. This interconnection is especially required in commercial and enterprise applications of sensor networks where reliable and timely data transfers such as multiple code updates are needed from Internet nodes to sensor nodes. For this type of inbound traffic which is mostly bulk, TCP as transport layer protocol is essential, resulting in end-to-end TCP session through a default gateway. In this scenario, a single gateway tends to become the bottleneck because of non-uniform connectivity to all the sensor nodes besides being vulnerable to buffer overflow. We propose SET; a management architecture for multiple split-TCP sessions across a number of serving gateways. SET implements striping and multiple TCP session management through a shim at session layer. Through analytical modeling and ns2 simulations, we show that our proposed architecture optimizes communication for ingress bulk data transfer while providing associated load balancing services. We conclude that multiple split-TCP sessions managed in parallel across a number of gateways result in reduced latency for bulk data transfer and provide robustness against gateway failures.


Sensor NetworkSensor NodeWireless Sensor NetworkManagement ArchitectureBulk Data

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Authors’ Affiliations

Department of Electrical Engineering, University of Engineering and Technology, UET, Lahore, Pakistan
Department of Computer Science, University of Engineering and Technology, UET, Lahore, Pakistan
Al-Khawarzmi Institute of Computer Science, University of Engineering andTechnology, UET, Lahore, Pakistan


© Saima Zafar et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.