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Network resilience in low-resource mobile wireless sensor networks

Li, Bai, Batten, Lynn and Doss, Robin 2010, Network resilience in low-resource mobile wireless sensor networks. In Schmidt, Andreas U., Russello, Giovanni, Lioy, Antonio, Prasad, Neeli R. and Lian, Shiguo (ed), Security and privacy in mobile information and communication systems : second international ICST conference, MobiSec 2010, Catania, Sicily, Italy, May 27-28, 2010 : revised selected papers, Springer, Berlin, Germany, pp.127-138.

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Title Network resilience in low-resource mobile wireless sensor networks
Author(s) Li, Bai
Batten, Lynn
Doss, RobinORCID iD for Doss, Robin orcid.org/0000-0001-6143-6850
Title of book Security and privacy in mobile information and communication systems : second international ICST conference, MobiSec 2010, Catania, Sicily, Italy, May 27-28, 2010 : revised selected papers
Editor(s) Schmidt, Andreas U.
Russello, Giovanni
Lioy, Antonio
Prasad, Neeli R.
Lian, Shiguo
Publication date 2010
Series Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; v.47
Chapter number 11
Total chapters 14
Start page 127
End page 138
Total pages 12
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) wireless sensor network
resilience
recovery
implementation
reprogramming
re-clustering
authentication
Summary Wireless sensor networks (WSNs) are deployed in numerous mission critical applications in which the network needs to remain active for as long as possible while delivering quality information to a base station. However, WSNs suffer from a wide range of attacks due to their limited processing and energy capabilities. Their resiliency, however, depends on fast recovery from such attacks being achieved. In recent work, the authors developed and implemented clustering, reprogramming and authentication protocols involved in recovering stationary WSNs with low resources. In this paper, we determine the additional resources required in implementing these protocols in a mobile WSN.

We present recovery protocols on TinyOS motes for a low-resourced, mobile deployment. We describe the issues we encountered in the implementation. We present times, RAM and ROM needed to run the recovery protocols and compare these with the stationary case, demonstrating that the additional cost of reprogramming in a mobile WSN is less than 25% of that in a stationary WSN and the additional cost of re-clustering in a mobile WSN is less than 9% of that in a stationary WSN. Authentication has an insignificant cost increase.
ISBN 9783642175015
3642175015
ISSN 1867-8211
Language eng
Field of Research 080503 Networking and Communications
Socio Economic Objective 890103 Mobile Data Networks and Services
HERDC Research category B1 Book chapter
HERDC collection year 2010
Copyright notice ©2010, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30033830

Document type: Book Chapter
Collection: School of Information Technology
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