Abstract
A wireless sensor network (WSN) is typically comprised of a large number of nodes spread over a large area sensors. Sensor nodes are small, low battery, limited storage and processing power. Each node is usually equipped with a wireless radio transceiver, a small micro-controller, a source of power sensors and multiple types such as temperature, light, pressure, sound, vibration nodes etc. These ways to communicate directly with network among themselves or through other nodes. The first objective is to collect data on WSN sensor nodes. If the data on the web passes through the one or more sensor nodes, power consumption in the first node differs from the second node. Therefore, the loaded nodes too quickly lose battery power and shut down. Imagine this situation happens to a group of neighboring nodes and fall of premature death, leading energy gap in the network. Energy gap affects other nodes in the network nodes that share the power load port has a load to the other nodes in the network. As a result, life of a network will end soon. Our research is aimed at maximizing the coverage area, increasing the detection range of remaining sensor nodes when a node fall in premature death, to prevent the formation of holes in the supply network of wireless sensors.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Bojkovic, Z., Bakmaz, B.: A survey on wireless sensor networks deployment. WSEAS Trans. Commun. 7(12), 1172–1181 (2008)
Ding, M., Chen, D., Xing, K., Cheng, X.: Localized fault-tolerant event boundary detection in sensor networks. In: IEEE INFOCOM, pp. 902–913, Mar 2005
Tripathy, M.R., Nayak, C.K., Pradhan, M.: Minimization of energy-holes By DBPC (Dynamic Bonding and Partitioning Coverage) in a WSN. Int. J. Comput. Appl. 5(3), 2250–1797 (2015)
Ahmed, N., Kanhere, S.S., Jha, S.: The holes problem in wireless sensor networks: a survey. Mobile Comput. Commun. Rev. 1(2), 1–14 (2009)
Son, J.A.M.: A jammed-area mapping service for sensor networks. In: 24th IEEE Real Time System Symposium (RTSS’03), pp. 286, 298, Dec 2003
Adlakha, S., Srivastava, M.: Critical density thresholds for coverage in wireless sensor networks. In: Proceedings of the IEEE WCNC ’03, 3, pp. 1615–1620, March 2003
Huang, C.-F., Tseng, Y.-C.: The coverage problem in a wireless sensor network. In: Proceedings of the 2nd ACM WSNA’03, Sep 2003
Wood, A.D., Stankovic, J.A.: Denial of service in sensor networks. IEEE Comput. 35(10), 48–56 (2002)
Wang, X., Xing, G., Zhang, Y., Lu, C., Pless, R., Gill, C.: Integrated coverage and connectivity configuration in wireless sensor networks. In: Proceedings of the ACM SenSys ’03, pp. 28–39, Nov 2003
Youssef, M.W.: Securing computer networks communication by modifying computer network communication protocols. In: An IEEE Communications Society Security and Applications Workshop, the 11th International Conference on Telecommunications for Intelligent Transport Systems “ITST-2011”, St. Petersburg, Russia, Aug 2011
Hu, Y.-C., Perrig, A., Johnson, D.B.: Wormhole detection in wireless adhoc networks. Technical Report TR01-384, Department of Computer Science, Rice University, June 2002
Curiac, D., Volosencu, C., Doboli, A., Dranga, O., Bednarz, T.: Neural network based approach for malicious node detection in wireless sensor networks. In: Proceedings of WSEAS International Conference on Circuits, Systems, Signal and Telecommunications, pp. 17–19, Jan 2007
Cardei, M., Wu, J., Lu, M.: Department of Computer Science and Engineering Florida Atlantic University, Boca Raton, FL 33431 (2005)
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cyirci, E.: Wireless sensor networks: a survey. Comput. Netw. 38(4), 393–422 (2002)
Pires, W.R., Jr., Figueiredo, T.H., Wong, H.C., Loureiro, A.A.: Malicious node detection in wireless sensor networks. In: IEEE 18th International Parallel and Distributed Processing Symposium (2004)
Curiac, D., Banias, O., Dranga, O.: Malicious node detection in wireless sensor networks using an autoregression technique. In: Third International Conference Networking and Services (2007)
Acknowledgement
We have four different ways to increase the detection range of the sensor nodes for wireless sensor network of four methods to minimize holes in the cover offered. Here we creating a wireless sensor network to cover the hole in the series to detect when a node is damaged.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Nayak, C.K., Rath, S., Pradhan, M., Das, S. (2016). Energy-Hole Minimization in WSN Using Active Bonding and Separating Coverage. In: Satapathy, S., Das, S. (eds) Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 1. Smart Innovation, Systems and Technologies, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-319-30933-0_31
Download citation
DOI: https://doi.org/10.1007/978-3-319-30933-0_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30932-3
Online ISBN: 978-3-319-30933-0
eBook Packages: EngineeringEngineering (R0)