Model of Reducing the Power Consumption for Node of Wireless Sensor Network in Embedded Control Systems

Model for reducing energy consumption in wireless sensor network is presented. Model of reducing the power consumption for node of wireless sensor network in embedded control systems. The operation of the wireless sensor network node is analyzed. Different models was analyzed for reducing energy consumption by node in wireless sensor network. The combination of a large number of nodes into a network, the requirements for minimizing the energy consumption of nodes and the network as a whole lead to the need for additional structural solutions when creating wireless sensor networks. The most important of these is network clustering, which also implies constant rotation of the cluster head node during the network life cycle. The proposed network structure with cluster unification in a piconet provides an advantage that is inherent in the hierarchical method of building wireless sensor networks.

[1]  Pasquale Daponte,et al.  Power consumption analysis of a Wireless Sensor Network for road safety , 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[2]  A. D. Grishaeva,et al.  Development of the vertical handover algorithm for heterogeneous wireless networks , 2013, 2013 23rd International Crimean Conference "Microwave & Telecommunication Technology".

[3]  Anantha Chandrakasan,et al.  Dynamic Power Management in Wireless Sensor Networks , 2001, IEEE Des. Test Comput..

[4]  Sun Jianhui,et al.  An intelligent and power-saving wireless DSP design for the wearable EEG's fatigue monitoring , 2016, 2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT).

[5]  Aranya Chakrabortty Infusing autonomy in power distribution networks using smart transformers , 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).

[6]  A. K. Daniel,et al.  A study of energy conserving adequate coverage protocol for maximizing the lifetime of wireless sensor network , 2017, 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA).

[7]  Gang Wu,et al.  Design and implementation of ZigBee wireless sensor and control network system in greenhouse , 2017, 2017 36th Chinese Control Conference (CCC).

[8]  K. E. Kannammal,et al.  Energy efficient adaptive clustering protocol based on genetic algorithm and genetic algorithm inter cluster communication for wireless sensor networks , 2017, 2017 International Conference on Computer Communication and Informatics (ICCCI).

[9]  Dmytro Ageyev,et al.  Features of the use of software packages for modeling infocommunication systems , 2017, 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T).

[10]  Leonardo Lizzi,et al.  Improving Energy Efficiency of Mobile WSN Using Reconfigurable Directional Antennas , 2016, IEEE Communications Letters.

[11]  Seung-Woo Ko,et al.  Impact of Node Speed on Energy-Constrained Opportunistic Internet-of-Things with Wireless Power Transfer , 2018, Sensors.

[12]  Rabi N. Mahapatra,et al.  Feedback-controlled reliability-aware power management for real-time embedded systems , 2008, 2008 45th ACM/IEEE Design Automation Conference.

[13]  S. Prakasam,et al.  Performance analysis of cluster formation schemes for energy conservation in wireless sensor networks , 2017, 2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET).

[14]  Marwan Al-Jemeli,et al.  An Energy Efficient Cross-Layer Network Operation Model for IEEE 802.15.4-Based Mobile Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[15]  Prasanta K. Jana,et al.  A delay efficient path selection strategy for mobile sink in wireless sensor networks , 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[16]  Mohamed Ben Haj Frej,et al.  Energy efficient routing protocols and efficient bandwidth techniques in Underwater Wireless Sensor Networks - a survey , 2017, 2017 IEEE Long Island Systems, Applications and Technology Conference (LISAT).

[17]  Yan Shen,et al.  Wavelet Neural Network Approach for Dynamic Power Management in Wireless Sensor Networks , 2008, 2008 International Conference on Embedded Software and Systems.

[18]  Andrei Gurtov,et al.  Quantitative Power Consumption Analysis of a Multi-tier Wireless Multimedia Sensor Network , 2016 .

[19]  Nikolas Vidakis,et al.  Environmental monitoring through embedded system and sensors , 2017, 2017 52nd International Universities Power Engineering Conference (UPEC).

[20]  Dmitry Ageyev NGN network planning according to criterion of provider's maximum profit , 2010, 2010 International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET).

[21]  Aijun Liu,et al.  Research on Low Power Hierarchical Routing Protocol in Wireless Sensor Networks , 2017, 22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC).

[22]  П. В. Галкін АНАЛіЗ МОДЕЛЕЙ ТА ОПТИМіЗАЦії ЗБОРУ іНФОРМАЦії В БЕЗДРОТОВИХ СЕНСОРНИХ МЕРЕЖАХ , 2014 .

[23]  Pavlo Galkin Analysis models of collection data in wireless sensor networks , 2016, 2016 Third International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PIC S&T).

[24]  A. A. Ignatenko,et al.  Structural and parametric synthesis of telecommunication systems with the usage of the multi-layer graph model , 2013, 2013 23rd International Crimean Conference "Microwave & Telecommunication Technology".

[25]  Dmytro Ageyev,et al.  Optimization model for multi-time period LTE network planning , 2014, 2014 First International Scientific-Practical Conference Problems of Infocommunications Science and Technology.

[26]  Mohamed Abid,et al.  Evaluation of simulator tools and power-aware scheduling model for wireless sensor networks , 2017, IET Comput. Digit. Tech..

[27]  Vladlen Shapo,et al.  Workshop: The TATU Lab & smart education , 2016, 2016 13th International Conference on Remote Engineering and Virtual Instrumentation (REV).

[28]  Ákos Lédeczi,et al.  Marmote SDR: Experimental Platform for Low-Power Wireless Protocol Stack Research , 2013, J. Sens. Actuator Networks.

[29]  Pavlo Galkin Interaction model design of ZigBee-gateway between wireless sensor network and industrial network , 2017, 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T).