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Optimization of Mobile Agent using Genetic Algorithm in Wireless Sensor Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 134 - Number 2 |
| Year of Publication: 2016 |
| Authors: Harveen Kaur, Mandeep Singh Sra |
10.5120/ijca2016907831
|
Harveen Kaur, Mandeep Singh Sra . Optimization of Mobile Agent using Genetic Algorithm in Wireless Sensor Network. International Journal of Computer Applications. 134, 2 ( January 2016), 31-46. DOI=10.5120/ijca2016907831
Abstract
A wireless sensor network (WSN) is a network of sensor nodes located at unattended areas. Nodes in network sense parameters from environment and send data to sink. Movable sink take number of rounds in network and predict parameters. Movable sink performs better than static sink as it saves energy and lifetime of a network. WSN do not have fixed architecture but have battery constrained. As WSN can perform multi tasking and multi agents can effectively solve these problems in it. In this paper proposes a genetic algorithm that plans the simultaneous itineraries that intelligent mobile agents are to follow, such that the sensed information is collected within a time bound, and the power spent is minimized. Moreover, mobile agents dynamically and autonomously adapt these itineraries to bypass unexpected failures. The algorithms have been integrated both into a real-time wireless sensor network and into a simulation environment. With these implementations, several experiments and simulations have been performed. The simulations provide empirical results that illustrate the effective functioning of our approach under a variety of different topologies and assumptions. The whole simulation has been done in MATLAB 7.10.
References
- Lu Hong. 2013, "Mobile agent based topology control algorithms for wireless sensor networks." In Wireless Communications and Networking Conference Workshops (WCNCW), 2013 IEEE, pp. 195-199. IEEE .
- Y. Xu, H. Qi, “Distributed computing paradigms for collaborative signal and information processing in sensor networks”, International Journal of Parallel and Distributed Computing, vol.64, no.8, pp.945–959, 2004.
- Gonzalez, S., Chen, M., Leung, V.C.M, “Applications of mobile agents in wireless networks and mobile computing”, Elsevier, vol. 82, pp. 113– 163, 2011.
- Reinhard Bischoff, Jonas Meyer and GlaucoFeltrin,"WIRELESS SENSOR NETWORK PLATFORMS."John Wiley & Sons, Ltd. ISBN: 978-0-470-05822-0,2009.
- Yun Zou, HuazhongZhang ,XibeiJia. "Zone-Divided and ENERGY-balanced clustering routing protocol for wireless sensor networks.'' Proceedings of IEEE IC-BNMT2011.
- Chonggang Wang, Mahmoud Daneshmand, Bo Li Kazem Sohraby, "A Survey of Transport Protocols for Wireless Sensor Networks, AT&T Labs Research, Florham Park, NJ 07932, USA".
- NeethuM.Nair, A.FelixArokya Jose, “Survey on data collection in wireless sensors networks,” International JOURNAL OF Engineering Research &Technology(IJERT), ISSN:2278-0181,VOL.2 Issue 12, December 2013.
- Spie (2013). "VassiliKaranassios: Energy scavenging to power remote sensors". SPIE Newsroom. doi:10.1117/2.3201305.05
- Monahan, Torin, Mokos, Jennifer T. (2013). "Crowdsourcing Urban Surveillance: The Development of Homeland Security Markets for Environmental Sensor Networks". Geoforum 49: 279–288. doi:10.1016/j.geoforum.2013.02.001.
- Tiwari, Ankit et al., "Energy-efficient wireless sensor network design and implementation for condition-based maintenance, ACM Transactions on Sensor Networks (TOSN)",
- Sankalp Bahadur Singh, Asha Ambhaikar, “Optimization of routing protocol in MANET using GA,” International Journal of Science and Research (IJSR), India Online ISSN: 2319‐7064.
- Yun Zou, HuazhongZhang ,XibeiJia. "Zone-Divided and ENERGY-balanced clustering routing protocol for wireless sensor networks." Proceedings of IEEE IC-BNMT2011.
- Min Chen, Taekyoung Kwon, Yong Yuan, and Victor C.M. Leung, “Mobile agent based wireless sensors networks,” Journal of computers, VOL. 1, NO. 1, APRIL 2006.
- Muaz Niazi, Amir Hussain "A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive Environments. IEEE Sensors Journal, Vol.11 No. 2, 404–412 (2011).
- Im Jae-Wan, Jeong-Sik In, KyeongHur, Jin-Woo Kim, and Doo-SeopEom. "An intelligent agent-based routing structure for mobile sinks in WSNs."Consumer Electronics, IEEE Transactions on 56, no. 4: 2310-2316, (2010).
- Min Chen. Taekyoung Kwon, Yong Yuan and Victor C.M.2006 Leung,''Mobile Agent based Wireless Sensor Networks” JOURNAL OF COMPUTERS, VOL. 1, NO. 1, APRIL 2006
- Liu, Wang, Kejie Lu, Jianping Wang, Guoliang Xing, and Liusheng Huang. "Performance analysis of wireless sensor networks with mobile sinks."Vehicular Technology, IEEE Transactions on 61, no. 6 (2012): 2777-2788.
- Magno, M.; Boyle, D.; Brunelli, D.; O'Flynn, B.; Popovici, E.; Benini, L. (2014). "Extended Wireless Monitoring Through Intelligent Hybrid Energy Supply".IEEE Transactions on Industrial Electronics 61 (4): 1871.
- J.K.Hart and K.Martinez, "Environmental Sensor Networks: A revolution in the earth system science", Earth Science Reviews, 2006.
- Majid I. Khan a, Wilfried N. Gansterer b,,Guenter Haring." Static vs. mobile sink: The influence of basic parameters on energy efficiency in wireless sensor networks." Computer Communications 36, 965–978 0140-3664_ 2012 Elsevier B.V,2013.
- A.T.I. Fayeez, V.R. Gannapathy "Real-Time Load Distribution via particle Swarm Optimization for wireless sensor network (WSN)", VOL. 10, NO. 3, FEBRUARY 2015, ISSN 1816-6608.
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