Abstract
Since sensor nodes inter-work with one another on Ubiquitous Sensor Networks (USNs) to transfer data to the sink node, the lifetime of each sensor becomes an important factor for determining that of the USN. The users cannot recognize the scattered sensor nodes; thus, any sensor node cannot be recharged or replaced. The lifetime of a sensor node is determined by its battery. Accordingly, the lifetime of the entire communication network is required to increase by decreasing energy usage as much as possible to enable all of the sensor nodes to operate for a long time. Much energy is used in the following process: Initialization process where clusters are built, the normal operations of collecting data and transferring them to the sink node, or while the routing table is updated when an error occurs on a node during normal operation. In order to extend the entire lifetime of the USN, a technology for minimizing energy consumption is required in a variety of areas. In this study, an algorithm is introduced in order to decrease the energy required to update a routing table while recovering a fault from a node.
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References
Chen, B., Jamieson, K., Balakrishnan, H., Morris, R.: Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad. Hoc. Wireless Networks. ACM Wireless Networks 8(5) (September 2002)
Cerpa, A., Estrin, D.: ASCENT: Adaptive Self-Configuring Sensor Networks Topologies. In: Proceedings of IEEE INFOCOM, New York. IEEE Computer Society Press, Los Alamitos (2002)
Park, N., Kim, D., Doh, Y., Lee, S., Kim, J.: An Optimal and Lightweight Routing for Minimum Energy Consumption in Wireless Sensor Networks. In: IEEE RTCSA 2005, IEEE Computer Society Press, Los Alamitos (2005)
Bokareve, T., Bulusu, N., Jha, S.: SASHA: Toward a Self-Healing Hybrid Sensor Network Architecture. In: Proceedings of the Second IEEE Workshop on Embedded Networked Sensors (EmNetS-?), Piscataway, NJ, USA, pp. 71–78. IEEE Computer Society Press, Los Alamitos (2005)
Zhang, H., Arora, A.: GS3: Scalable Self-Configuration and Self-Healing in Wireless Sensor Networks. IEEE Transactions on Computer Networks 43, 459–480 (2003)
Reya, L.: Summary of Fault Tolerance in Sensor Networks (April 27th 2005)
Koushanfar, F., Potkonjak, M., Vincentelli, A.S.: Fault Tolerance Techniques for Wireless Ad. Hoc. Sensor Networks, UC Berkeley technical reports (2002)
Bergli, V.: Chipcon CC2420 spec.
http://korea.maxim-ic.com/products/memory/nv_sram_single_piece.cfm
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Jung, KM., Kook, JJ., Choi, KS., Kim, SD., Min, S. (2007). Energy Efficient Route Recovery Methods for Wireless Sensor Networks Using Hybrid Checkpointing. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74477-1_55
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DOI: https://doi.org/10.1007/978-3-540-74477-1_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74475-7
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