Method for Balancing Energy through the Mobility of Node Agent in Mobile Sensor Network
Abstract
In the recent years, low power computing systems have gained popularity. Networks, which use low power computer systems and transmit data by using wireless connection, are called wireless sensor networks. Nowadays, the most topical studies are aimed at grouping wireless sensor networks by the new optimisation of structure of network transmission protocol, the routing optimisation in a transmission network, optimisation of network structure, as a result of which it is possible to increase the life cycle of wireless network sensors. There are a number of methods that allow solving this problem. These include the choice of the capacity of individual battery, the deployment of the node density, the adjustment of power transmitter, the application of energy-efficient data transfer protocol, positioning of network nodes and other methods that are associated with the introduction of additional network costs. The present article discusses a new method for balancing energy through the mobility of network node intellectual agent, which provides the opportunity for reconfiguration of dynamic network or change of network topology.
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Data processing; life cycle; network agent; sensor network
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References
S. Basagni, A. Carosi, C. Petrioli, “Controlled Vs. Uncontrolled Mobility in Wireless Sensor Networks: Some Performance Insights,” Vehicular Technology Conference, 2007. VTC-2007 Fall. 2007 IEEE 66th. 2007. pp. 269–273. http://dx.doi.org/10.1109/vetecf.2007.70
D.M. Blough, P. Santi, “Investigating upper bounds on network lifetime extension for cell-based energy conservation techniques in stationary ad hoc networks,” Proc. of the 8th annual int. conf. on Mobile computing and networking. MobiCom ’02. New York, NY, USA: ACM, 2002. pp. 183–192. http://dx.doi.org/10.1145/570645.570668
Y. Chen, Q. Zhao, “On the lifetime of wireless sensor networks,” Communications Letters, IEEE. Nov., vol. 9, no. 11. pp. 976–978.
C. Fok, G. Roman, C. Lu. “Rapid Development and Flexible Deployment of Adaptive Wireless Sensor Network Applications,” Proc. of 25th IEEE Int. Conf. on Distributed Computing Systems, 2005, pp. 653–662.
D. Georgoulas, K. Blow, “Making Motes Intelligent: An Agent-Based Approach to Wireless Sensor Networks,” The World Scientific and Engineering Academy and Society (WSEAS) on Communications Journal, 2006, pp. 515–522.
S. Halder, A. Ghosal, A. Chaudhuri, S. DasBit, “A probability density function for energy-balanced lifetime-enhancing node deployment in WSN,” Proc. of the 2011 int. conf. on Computational science and its applications, vol. 6785 Part IV. ICCSA’11. Berlin, Heidelberg: Springer-Verlag, 2011. pp. 472–487. http://dx.doi.org/10.1007/978-3- 642-21898-9_40
I.S. Hammoodi, B. Stewart, A. Kocian, S. McMeekin, “A Comprehensive Performance Study of OPNET Modeler for ZigBee Wireless Sensor Networks,” Next Generation Mobile Applications, Services and Technologies, 2009. NGMAST ’09. 3rd Int. Conf. 2009. pp. 357–362. http://dx.doi.org/10.1109/ngmast.2009.12
A. Jurenoks, L. Novickis, “Wireless Sensor Networks LifeTime Assessment Model Development,” In: Proc. of 10th Int. Scientific and Practical Conf. “Environment. Technology. Resources”, Rezekne, Latvia, 2015. June, ISSN 1691-5402 (SCOPUS), pp. 121–126.
S. Kumar, A. Arora, T. Lai, “On the lifetime analysis of always-on wireless sensor network applications,” IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005. pp. 3–188. http://dx.doi.org/10.1109/MAHSS.2005.1542797
R. Mautz, S. Tilch, “Survey of optical indoor positioning systems,” Int. Conf. on Indoor Positioning and Indoor Navigation, IPIN, 2011. pp. 1–7. http://dx.doi.org/10.1109/ipin.2011.6071925
K. Mohammadi, H. Hamidi, “Evaluation of fault-tolerant mobile agents in distributed systems,” Proc. of the first IEEE and IFIP Int. Conf. in central Asia on Internet, 2005. http://dx.doi.org/10.1109/canet.2005.1598208
H. Qi, S.S. Iyengar, K. Chakrabarty, “Multiresolution Data Integration Using Mobile Agents in Distributed Sensor Networks,” IEEE Transactions on Systems, Man and Cybernetics Part C, 2001, pp. 383–391.
J.-Z. Sun, J. Sauvola, “Mobility and mobility management: a conceptual framework,” 10th IEEE International Conference, Networks, 2002. ICON 2002, 2002. pp. 205–210.
L. Zhuang, W. Liu, J.-B. Zhang et al. “Distributed asset tracking using wireless sensor network,” IEEE Int. Conf. on Emerging Technologies and Factory Automation, 2008. ETFA 2008. pp. 1165–1168. http://dx.doi.org/10.1109/etfa.2008.4638546
F.P. Vasilyev, Chislennyye metody resheniya ekstremalnykh zadach: Ucheb. posobiye dlya vuzov. 2-e izd., pererab. i dop. M.: Nauka, 1988. 552 s. (In Russian).
R.O. Kurpatov, Issledovaniye i razrabotka energoeffektivnogo metoda lokalizatsii elementov besprovodnykh sensornykh setey: dis. kand. tekhn. nauk: 05.12.13. M., 2011. 126 s. (In Russian).
V.YU Yurochkin., T.I. Mokhseni, Iyerarkhicheskiye podkhody k samoorganizatsii v besprovodnykh shirokopolosnykh sensornykh setyakh na osnove khaoticheskikh radioimpulsov, Trudy MFTI. 2012. T. 4, no. 3. s. 151–161. (In Russian).
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