Abstract
Wireless sensor networks consist of hundreds or thousands of small sensors with have limited resources. The energy resource is the most challenging one to be maintained. The major reason for power drain is the communication between sensor nodes. Most of the routing algorithms for sensor networks focus on finding energy efficient paths to prolong the lifetime of the networks. In this paper, a novel routing algorithm has been proposed to detect the source of an event in the network. This algorithm also maintains a balance between the powers of different nodes in the network, so that the longevity of the overall network may increase.
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References
Boonma, P., Suzuki, J.: MONSOON: A Co-evolutionary Multiobjective Adaptation Framework for Dynamic Wireless Sensor Networks. In: Proceedings of the 41st Hawaii International Conference on System Science (2008)
Boonma, P., Suzuki, J.: Exploring self-star Properties in Cognitive Sensor Networking. In: Proc. of IEEE/SCS International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS), Edinburgh, UK (2008)
Boonma, P., Suzuki, J.: BiSNET: A biologically inspired middleware architechture for self managing wireless sensor networks. Computer Networks 5.1(16), 4599–4616 (2007)
Chen, W.-M., Li, C.-S., Chiang, F.-Y., Chao, H.-C.: Jumping Ant Routing Algorithm for sensor networks. Elsevier B.V, Amsterdam (2007)
Yoon, S., Dutta, R., Sichitiu, M.L.: Power Aware Routing Algorithm for Wireless Sensor Networks. In: IEEE (2007)
Siva Kumar, D., Bhuvaneswaran, R.S.: Proposal on Multi agent Ants based Routing Algorithm for Mobile Adhoc Networks. IJCSNS International Journal of Computer Science and Network Security 7(6) (June 2007)
Dorigo, M.: Ant Colony Optimization. University of Pretoria Etd, du Plessis J (2006)
Hassaanein, H., Luo, J.: Reliable Energy Aware Routing in Wireless Sensor Networks. In: IEEE (2006)
Laxmi, V., Jain, L., Gaur, M.S.: Ant Colony Optimization based Routing on NS-2. In: The Proceedings of International Conference On Wireless Communication and Sensor Networks, WCSN (2006)
Abrenica, A., Almojulea, R., Dalupang, R., Magnayon, R.: The Development of a ZigBee Wireless Home Area Network Utilizing Solar Energy as an Alternative Power Source, University of Manitoba (2005)
Arabshahi, P., Gray, A., Kassabalidis, I., Das, A.: Adaptive Routing in Wireless Communication Network using Swarm Intelligence. Jet Propulsion Laboratory and University of Washington (2004)
MongSim, K., Sun, W.H.: Ant Colony Optimization or Routing and Load-Balancing: Survey and New Direction, part-A: System and Humans 33(5) (September 2003)
Rajagopalam, S., Shen, C.-C.: A Routing Suite for Mobile Ad hoc Networks using Swarm Intelligence, Department of Computer and Information Sciences, University of Delaware,Newark (2003)
A multiple ant colony optimization approach for load balancing. In: Proc, 4th Int.Conf. Intelligent Data Engineering Automated, learning Hongkong (2003)
Gay, D., Levis, P., von Behren, R., Welsh, M., Brewer, E., Culler, D.: The nesC language: A holistic approach to networked embedded systems. In: SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2003 (June 2003)
Dai, F., Wu, J.: Distributed dominant pruning in ad-hoc networks. In: Proceedings of ICC (2003)
Gunes, M., Sorges, U., Bouazizi, I.: ARA- the ant colony based routing algorithm for MANET. In: Proc. of the ICPP (2002)
Braginsky, D., Estrin, D.: Rumor Routing Algorithm for Sensor Networks. In: WSNA 2002, September 28 (2002)
Yu, Y., Govindan, R., Estrin, D.: Geographical and Energy Aware Routing: A Recursive Data Dissemination Protocol for Wireless Sensor Networks. UCLA Computer Science Department Technical Report UCLA/CSD-TR-01-0023 (2001)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy Efficient Communication Protocol for Wireless Microsensor Networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences (2000)
Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks. In: Proceedings of the sixth Annual International Conference on Mobile Computing and Networks, MobiCOM 2000 (2000)
Karp, B., Kung, H.T.: GPSR: Greedy perimeter stateless routing for wireless networks. In: Proceedings of the ACM/IEEE International Conference on Mobile Computing and Networking, Boston, Mass., USA, pp. 243–254 (2000)
Subramanian, D., Druschel, P., Chen, J.: Ants and Reinforcement Learning: A Case Study in Routing in Dynamic Data Networks. In: Proceedings of IJCAI 1997(1997)
GRAdient Broadcast: A Robust, Long-Lived Large Sensor Network, http://irl.cs.ucla.edu/papers/grab-tech-report.ps
Lin, M., Marzullo, K., Masini, S.: Gossip verseus deterministic flooding: Low message overhead and high reliaility for broadcasting on small networks
Levis, P., Gay, D., Culler, D.: Active Sensor Networks
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Das, A.K., Chaki, R. (2011). A Novel Power-Balanced Routing Scheme for WSN. In: Özcan, A., Zizka, J., Nagamalai, D. (eds) Recent Trends in Wireless and Mobile Networks. CoNeCo WiMo 2011 2011. Communications in Computer and Information Science, vol 162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21937-5_3
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DOI: https://doi.org/10.1007/978-3-642-21937-5_3
Publisher Name: Springer, Berlin, Heidelberg
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