Development and Estimation of Wireless Sensor Network Life Expectancy Assessing Model and Methods
2016
Aleksejs Jurenoks

Defending
06.06.2016. 14:30, Sētas ielā 1, Rīga, 202. auditorijā

Supervisor
Leonīds Novickis

Reviewers
Valerijs Zagurskis, Arnis Cīrulis, Krzysztof Amborski

The number of different devices for use with computer networks which provide mutual interaction of information is increasing daily. Recently the number of systems that do not require human intervention in the system process (Machine-to-Machine communication) has increased. According to the concept of the Internet of things, by 2019 there will be more than a few trillion telecommunications devices connected in the World Wide Web [COL 2015], the majority of which will form the “things” systems, in accordance with the recommendation of the International Telecommunications Union Y.2069 [TER 2015].For the telecommunications devices to be able to interact with each other or to operate by following the user instructions, various sensor nodes, which are able to not only read information about the environment, but also communicate with one another via network protocols, have been integrated into them. Lately, low power computing systems have been regaining a lot of popularity. Today's technology allows anyone to reduce the size of the existing computing systems by creating an inexpensive, low power autonomous system that makes it possible to use both physical and wireless networks in order to transmit information. This type of technology gained most of its popularity by receiving information from sensors as well as in the area of control systems. Networks that use low power computing systems and also transmit data via a wireless connection are known as wireless sensor networks whose main task is to obtain information from the sensors and transmitting it within the network. The origins of wireless sensor networks are mentioned in 1999, when in the first publication [КОМ 2012] the possibility of using low power systems for obtaining information from the environment was mentioned. With the development of technology, it was applied progressively not only in the area of monitoring the environmental parameters, but also in medicine [STA 2005, ВАБ 2010, КУР 2011], security and safety systems [RAM 2012] as well as tracking tasks [THE 2015]. There are a number of non-standard solutions, in which sometimes a wireless sensor network is used unconventionally, in other words, for multimedia data transmission [BAR 2004], for processing inertial sensor data in tracking systems [ВАБ 2010], for detecting object movements as well as for monitoring. Lately, the number of applications offering the use of mobile devices for receiving complex information has been increasing. Among the most advanced mobile wireless sensor network applications the following can be emphasized – underwater monitoring systems [GOY 2009], the control system for object location in a certain space [THE 2015, IEE 2015] and the more recently developed personal barometric systems. Nowadays the topical research of a wireless sensor network is based on the new network transmission protocol improvement [MIE 2012, TAR 2014], the routing of transmission [КОМ 2012] and the formation of the network structure [КУР 2011] which makes it possible to increase the overall life expectancy of a wireless sensor network.


Keywords
bezvadu tīkla dzīves ilgums; vadības metodes;eksperimentāla aprobācija.

Jurenoks, Aleksejs. Development and Estimation of Wireless Sensor Network Life Expectancy Assessing Model and Methods. PhD Thesis. Rīga: [RTU], 2016. 156 p.

Publication language
Latvian (lv)
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