CLC number: TP393
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2012-08-03
Cited: 2
Clicked: 9517
Ozlem Karaca, Radosveta Sokullu. A cross-layer fault tolerance management module for wireless sensor networks[J]. Journal of Zhejiang University Science C, 2012, 13(9): 660-673.
@article{title="A cross-layer fault tolerance management module for wireless sensor networks",
author="Ozlem Karaca, Radosveta Sokullu",
journal="Journal of Zhejiang University Science C",
volume="13",
number="9",
pages="660-673",
year="2012",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1200029"
}
%0 Journal Article
%T A cross-layer fault tolerance management module for wireless sensor networks
%A Ozlem Karaca
%A Radosveta Sokullu
%J Journal of Zhejiang University SCIENCE C
%V 13
%N 9
%P 660-673
%@ 1869-1951
%D 2012
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1200029
TY - JOUR
T1 - A cross-layer fault tolerance management module for wireless sensor networks
A1 - Ozlem Karaca
A1 - Radosveta Sokullu
J0 - Journal of Zhejiang University Science C
VL - 13
IS - 9
SP - 660
EP - 673
%@ 1869-1951
Y1 - 2012
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1200029
Abstract: It is a well-established fact that wireless sensor networks (WSNs) are very power constraint networks, but besides this, they are inherently more fault-prone than any other type of wireless network and their protocol design is very application specific. Major reasons for the faults are the unpredictable wireless communication channel, battery depletion, as well as fragility and mobility of the nodes. Furthermore, as traditional protocol design methods have proved inadequate, the cross-layer design (CLD) approach, which allows for interactions between different layers, providing more flexible and energy-efficient functionality, has emerged as a viable solution for WSNs. In this study we define a fault tolerance management module suitable to the requirements, limitations, and specifics of WSNs, encompassing methods for fault detection, fault prevention, fault management, and recovery. The suggested solution is in line with the CLD approach, which is an important factor in increasing the network performance. Through simulations the functionality of the network is evaluated, based on packet loss, delay, and energy consumption, and is compared with a similar solution not including fault management. The results achieved support the idea that the introduction of a unified approach to fault management improves the network performance as a whole.
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