Энергоэффективность в сенсорных сетях камер с автономными источниками питания
The given study is devoted to the issues of searching the ways for adaptation to climate change, mitigation of its impact on the economy and population, as well as to the role of increasing energy efficiency in the economies of some countries of Eastern Europe, Caucasus and Central Asia (EECCA). It also relates to the issues of responding to negative trends and emerging challenges caused by climate change. The Report represents several case studies on the above topics implemented in Moldova, Tadjikistan, Kazakhstan, Azerbaijan and the Russian Federation by the network of regional enviuronmental centres. It also contains consideration of possible methodological approaches and recommendations on addressing the above issues in the EECCA region.
In this work it was explained why the energy balancing in a static wireless sensor networks with autonomous energy sources is actual nowadays. We presented mathematical model of static wireless sensor network which considers external influence. We presented method of energy balancing in a static wireless sensor networks with autonomous energy sources and experimental results which show increasing work efficiency of static WSN with autonomous energy sources by increasing nodes lifetime and decreasing nodes energy consumption.
The work provides a specific approach to modeling and simulating Wireless Sensor Networks (WSN) via nested Petri Nets formalism. The tool for modeling/simulating WSN must take into account resources, time and sensors cost. Even though classical Petri Nets are well-suited for modeling dynamic concurrent systems, they do not have enough expressibility to model systems with distributed agents-sensors. The proposed tool enables user to conduct visual modelling, simulate WSN and find WSN defects on early stages of the WSN development.