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CLC number: TP393

On-line Access: 2012-09-05

Received: 2012-02-03

Revision Accepted: 2012-05-29

Crosschecked: 2012-08-03

Cited: 2

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Journal of Zhejiang University SCIENCE C 2012 Vol.13 No.9 P.660-673

10.1631/jzus.C1200029


A cross-layer fault tolerance management module for wireless sensor networks


Author(s):  Ozlem Karaca, Radosveta Sokullu

Affiliation(s):  Izmir Vocational School, Dokuz Eylul University, Izmir 35160, Turkey; more

Corresponding email(s):   ozlem.karaca@deu.edu.tr

Key Words:  Wireless sensor networks (WSNs), Cross-layer frameworks, Protocol design, Fault management


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.

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%I Zhejiang University Press & Springer
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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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E., 2002. A survey on sensor networks. IEEE Commun. Mag., 40(8):102-114.

[2]Akyildiz, I.F., Vuran, M.C., Akan, O.B., 2006. A Cross-Layer Protocol for Wireless Sensor Networks. 40th Annual Conf. on Information Sciences and Systems, p.1102-1107.

[3]Bouabdallah, F., Bouabdallah, N., Boutaba, R., 2009. Cross-Layer Design for Energy Conservation in Wireless Sensor Networks. Proc. IEEE Int. Conf. on Communications, p.1-6.

[4]Drabkin, V., Friedman, R., Kliot, G., 2008. On the (un)reliability of TCP connections: the return of the end-to-end argument. IEEE Distr. Syst. Online, 9(8):2.

[5]Ergen, S.C., Pravin, V., 2007. Energy efficient routing with delay guarantee for sensor networks. Wirel. Networks, 13(5):679-690.

[6]Gungor, V.C., Vuran, M.C., Akan, O.B., 2007. On the cross-layer interactions between congestion and contention in wireless sensor and actor networks. Ad Hoc Networks, 5(6):897-909.

[7]Gupta, S., Vuran, M.C., Gursoy, M.C., 2009. Power Efficiency of Cooperative Communication in Wireless Sensor Networks. 3rd Int. Conf. on Signal Processing and Communication Systems, p.1-10.

[8]Han, Q., Lazaridis, I., Mehrotra, S., Venkatasubramanian, N., 2005. Sensor Data Collection with Expected Reliability Guarantees. 3rd IEEE Int. Conf. on Pervasive Computing and Communications Workshops, p.374-378.

[9]Karaca, L.O., 2010. Designing a Fault Tolerant Cross-Layer Framework in Wireless Sensor Networks. PhD Thesis, Ege University, Izmir, Turkey (in Turkish).

[10]Karaca, L.O., Sokullu, R., Prasad, N.R., Prasad, R., 2012. Application oriented multi criteria optimization in WSNs using on AHP. Wirel. Pers. Commun., 65(3):689-712.

[11]Khan, N.M., Ihsan, A., Khalid, Z., Ahmed, G., Ramer, R., Kavokin, A.A., 2008. Quasi Centralized Clustering Approach for an Energy-Efficient and Vulnerability-Aware Routing in Wireless Sensor Networks. Proc. 1st ACM Int. Workshop on Heterogeneous Sensor and Actor Networks, p.67-72.

[12]Mini, R., Loureiro, A., Badrinath, B.R., 2004. The distinctive design characteristic of a wireless sensor network: the energy map. Comput. Commun., 27(10):935-945.

[13]Paradis, L., Han, Q., 2007. A survey of fault management in wireless sensor networks. J. Network Syst. Manag., 15(2):171-190.

[14]Park, S.J., Vedantham, R., Sivakumar, R., Akyildiz, I.F., 2004. A Scalable Approach for Reliable Downstream Data Delivery in Wireless Sensor Networks. Proc. 5th ACM Int. Symp. on Mobile Ad Hoc Networking and Computing, p.78-89.

[15]Ramanathan, N., Chang, K., Kapur, R., Girod, L., Kohler, E., Estrin, D., 2005. Sympathy for the Sensor Network Debugger. Proc. 3rd Int. Conf. on Embedded Networked Sensor Systems, p.255-267.

[16]Sankarasubramaniam, Y., Akan, O.B., Akyildiz, I.F., 2003. ESRT: Event-to-Sink Reliable Transport in Wireless Sensor Networks. Proc. 4th ACM Int. Symp. on Mobile Ad Hoc Networking and Computing, p.177-188.

[17]Shakkottai, S., Rappaport, T.S., Karlsson, P.C., 2003. Cross-layer design for wireless networks. IEEE Commun. Mag., 41(10):74-80.

[18]Sokullu, R., Karaca, O., 2009. Simple and Efficient Cross-Layer Framework Concept for Wireless Sensor Networks. 12th Int. Symp. on Wireless Personal Multimedia Communications, S05-1.

[19]Srivastava, V., Motani, M., 2005. Cross-layer design: a survey and the road ahead. IEEE Commun. Mag., 43(12):112-119.

[20]Staddon, J., Balfanz, D., Durfee, G., 2002. Efficient Tracing of Failed Nodes in Sensor Networks. Proc. 1st ACM Int. Workshop on Wireless Sensor Networks and Applications, p.122-130.

[21]Stewart, R., Metz, C., 2001. SCTP: new transport protocol for TCP/IP. IEEE Internet Comput., 5(6):64-69.

[22]Vidhyapriya, R., Vanathi, P.T., 2008. Reliable energy-efficient routing with novel route update in wireless sensor networks. J. Zhejiang Univ.-Sci. A, 9(8):1099-1110.

[23]Vuran, M.C., Gungor, V.C., Akan, O.B., 2005. On the Interdependence of Congestion and Contention in Wireless Sensor Networks. Proc. ICST SenMetrics, p.136-147.

[24]Wan, C.Y., Eisenman, S.B., Campbell, A.T., 2003. Coda: Congestion Detection and Avoidance in Sensor Networks. Proc. 1st Int. Conf. on Embedded Networked Sensor Systems, p.266-279.

[25]Wan, C.Y., Campbell, A.T., Krishnamurthy, L., 2005. Pump slowly fetch quickly (PSFQ): a reliable transport protocol for wireless sensor networks. IEEE J. Sel. Areas Commun., 23(4):862-872.

[26]Zhao, Y.J., Govindan, R., Estrin, D., 2002. Residual Energy Scan for Monitoring Sensor Networks. IEEE Wireless Communications and Networking Conf., p.17-21.

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