WSN Energy Management Model Based on Multiple Mobile Agent

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This paper proposes an energy management model of wireless sensor networks based on multiple mobile Agents. It constructs the MMAEM (Multiple Mobile Agent Energy Model) energy model and introduces in the model an algorithm called MMASDTPA (Multiple Mobile Agent Synergetic Distributed Task Processing Algorithms) in order to reduce the delay, save energy and prolong the network life. The simulation experiment shows that it has less energy consumption and shorter network delay than LEACH and single mobile Agent energy management model.

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117-128

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July 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] IF Akyildiz, W Su, Y Sankarasubr- amaniam, ECayirci. Wireless sensor networ- ks: a survey. Computer Networks (S1389 -1286), 2002, 38(4): 393-422.

DOI: 10.1016/s1389-1286(01)00302-4

Google Scholar

[2] Akyildiz L F, Weilian S, Sankarasubra- maniam Y, et al. A Survey on Sensor Networks. IEEE Communications Magazine, 2002, 40(8): 102-114.

DOI: 10.1109/mcom.2002.1024422

Google Scholar

[3] Sagduyu Y E, Ephremides A. The Problem of Medium Access Control in Wireless Sensor Networks. IEEE Transon Wireless Communications, 2004, 11(6): 44-53.

DOI: 10.1109/mwc.2004.1368896

Google Scholar

[4] Lin T-H, Kaiser W J, Pottie G J. Inte- grated Low-Power Communication System Design for Wireless Sensor Networks. IEEE Communications Magazine, 2004, 42(12): 142-150.

DOI: 10.1109/mcom.2004.1367566

Google Scholar

[5] W. Heinzelman, A. Chandrakasan and H. Balakrishnan. Energyefficient Communicat- ion Protocol for Wireless Sensor Net- works. Proceeding of the Hawaii Inter- national Conference on System Sciences, H- awaii , January 2000: 1-10.

Google Scholar

[6] F. Xiangning and S. Yulin. Improvement on LEACH Protocol of Wireless Sensor Ne- twork. International Conference on Sensor Technologies and Applications. 2007: 260-264.

DOI: 10.1109/sensorcomm.2007.4394931

Google Scholar

[7] M. BaniYassein, A. Al-zou'bi, Y. Khama- yseh and W. Mardini, on LEACH Protocol of Wireless Sensor Network (VLEACH). International Journal of Digital Content- Technology and its Applications. 2009, 3(2): 132-136.

DOI: 10.4156/jdcta.vol3.issue2.yassein

Google Scholar

[8] SHI Ye-ling, CHEN Bin-bing. Improv- ed LEACH-ID algorithm for wireless sensor networks. Journal of Computer Applic- ations, 2011, 31(2): 324 - 327.

DOI: 10.3724/sp.j.1087.2011.00324

Google Scholar

[9] Vivek Katiyar, Narottam Chand, Gopal Chand Gautam and Anil Kumar. Imp- rovement in LEACH Protocol for Large -scale Wireless Sensor Networks. Proc. 2011 International Conference on Emerging Trends in Electrical and Computer Technology (ICETEC) . India, March (2011).

DOI: 10.1109/icetect.2011.5760277

Google Scholar

[10] C. Jing, T. Gu and L. Chang, ESCAL: an energy-saving clustering algorithm based on LEACH, in Proceedings of the IEEE Int- ernational Symposium on Knowledge Acqu- isition and Modeling Workshop (KAM '08), p.403–406, December (2008).

DOI: 10.1109/kamw.2008.4810509

Google Scholar

[11] Wei Bo, Hu Han-ying, Fu Wen. An Imp- roved LEACH Protocol for Data Gathering and Aggregation in Wireless Sensor Netwo- rks. International Conference on Computer and Electrical Engineering, (2008).

DOI: 10.1109/iccee.2008.59

Google Scholar

[12] LIN N an, SH IW ei- hang. Simulation Research ofW ireless Sensor Networks Bas- ed on LEACH Protocol. Computer Simulat- ion , 2011, 28(1): 178 - 181.

Google Scholar

[13] Jeong Hee-jin, Nam Choon-sung, Jeong Yi-seok, and Shin Dong-ryeol. A mobile Agent based LEACH in wireless sensor networks. The 10th International Conference on Advanced Communication Technology Phoenix Park, Korea, 2008: 75-78.

DOI: 10.1109/icact.2008.4493715

Google Scholar

[14] WANG Pei-dong, LI Hai-dong, XU Yan. Improvement of LEACH based on Mobile Agent. Communications Technology, 2009, 42(213): 151-153.

Google Scholar

[15] M Chen, S Gonzlez, Y Zhang, V C Leung. Multi-agent itinerary planning for sensor networks. Proceedings of theIEEE 2009 International Conference on Heter- ogeneous Networking for Quality, Reliability, Security and Robustness (QShine 2009), Las Palmas de Gran Canaria, Spain., 2009. USA: IEEE, (2009).

DOI: 10.1007/978-3-642-10625-5

Google Scholar

[16] CAI Wei, CHEN Zhi-jun, FENG Xin - long, ZENG Wen-hua. Multi-Agent Group-ing Algorithm in Wireless Sensor Networ- ks. Journal of System Simulation, 2010, 22 (12): 2890-2894.

Google Scholar

[17] V . Loscri, G. Morabito, and S. Marano, A two-level hierarchy for low-energy adap- tive clustering hierarchy. Proceedings of IEEE VTC Conference 2005. 2005, (3): 1809 – 1813.

DOI: 10.1109/vetecf.2005.1558418

Google Scholar

[18] Min Chen, Laurence T. Yang, Taek- young Kwon, Liang Zhou, Minho Jo. Itine- rary Planning for Energy-Efficient Agent Communications in Wireless Sensor Net- works. IEEE Transactions On Vehicular Tec- hnology, vol. 60, NO. 7, December 2011: 3290 -3299.

DOI: 10.1109/tvt.2011.2134116

Google Scholar

[19] HUANG Hai ping, WANG Ruchuan, SUN Li Juan, SHA Chao. A Power Manage- ment Mechanism for Wireless Sensor Netw- orks Used by Mobile Agents. COMPUTER ENGINEERING & SCIENCE, 2010, 6(32): 9-12.

Google Scholar

[20] YU Hua ping, GUO Mei, HU Jie. Delay performance analys is for mobile Sinks Wireless sensor networks. Application R- esearch of Computers, 2010, 27(1): 317-322.

Google Scholar