@ARTICLE{26583204_53708017_2012, 
	author = {L. Voskov and М. Komarov}, 
	keywords = {, autonomous network, wireless sensor networks, energy balancingstationary network},
	title = {Method of energy balancing in static wireless sensor networks with autonomous energy sources},
	journal = {},
	year = {2012},
	number = {1(19)},
	pages = {70-75},
	url = {https://bijournal.hse.ru/en/2012--1(19)/53708017.html},
	publisher = {},
	abstract = {Leonid Voskov - Professor, Department of Computer Systems and Networks, Faculty of Information Technologies and Computer Engineering, Moscow Institute of Electronics and Mathematics (MIEM). Address: 3, Bolshoi Trekhcvyatitelskiy per., Moscow, 123022, Russian Federation.  E-mail: voskov@narod.ru Mikhail Komarov - Postgraduate Student, Department of Computer Systems and Networks, Faculty of Information Technologies and Computer Engineering, Moscow Institute of Electronics and Mathematics (MIEM). Address: 3, Bolshoi Trekhcvyatitelskiy per., Moscow, 123022, Russian Federation.  E-mail: michmanK@mail.ruNowadays, dozens of researches into such wireless sensor network aspects as protocol architecture and design, energy conservation and location have been carried out. However, assurance of WSN services quality needs to be researched. Many WSN operation and performance aspects and requirements are not clearly defined. One of urgent problems is a problem of energy balancing, when in order to ensure long network lifetime energy should be uniformly distributed among all sensor nodes.The research task is to develop a method of WSN energy balancing taking into account effects of external factors. The method of WSN energy balancing proposed in this research is based on development of wireless fixed sensor network model with self-contained power supply. Testing data confirm the improvement of model effectiveness due to use of developed method. The tests were carried out using a number of modes: different power levels of transceivers; transfer of data and delivery of data receipt acknowledgement. Calculations showed that the use of developed method allows to save 21 per cent of total energy consumed and to increase the duration of autonomous work by 34 minutes (or 1.5 per cent). The proposed method of energy balancing also allows to take into consideration other external factors such as priority of traffic sent and jamming environment. },
	annote = {Leonid Voskov - Professor, Department of Computer Systems and Networks, Faculty of Information Technologies and Computer Engineering, Moscow Institute of Electronics and Mathematics (MIEM). Address: 3, Bolshoi Trekhcvyatitelskiy per., Moscow, 123022, Russian Federation.  E-mail: voskov@narod.ru Mikhail Komarov - Postgraduate Student, Department of Computer Systems and Networks, Faculty of Information Technologies and Computer Engineering, Moscow Institute of Electronics and Mathematics (MIEM). Address: 3, Bolshoi Trekhcvyatitelskiy per., Moscow, 123022, Russian Federation.  E-mail: michmanK@mail.ruNowadays, dozens of researches into such wireless sensor network aspects as protocol architecture and design, energy conservation and location have been carried out. However, assurance of WSN services quality needs to be researched. Many WSN operation and performance aspects and requirements are not clearly defined. One of urgent problems is a problem of energy balancing, when in order to ensure long network lifetime energy should be uniformly distributed among all sensor nodes.The research task is to develop a method of WSN energy balancing taking into account effects of external factors. The method of WSN energy balancing proposed in this research is based on development of wireless fixed sensor network model with self-contained power supply. Testing data confirm the improvement of model effectiveness due to use of developed method. The tests were carried out using a number of modes: different power levels of transceivers; transfer of data and delivery of data receipt acknowledgement. Calculations showed that the use of developed method allows to save 21 per cent of total energy consumed and to increase the duration of autonomous work by 34 minutes (or 1.5 per cent). The proposed method of energy balancing also allows to take into consideration other external factors such as priority of traffic sent and jamming environment. }
}