Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks
Wireless sensor networks (WSNs) provide a lot of emerging applications. They suffer from some limitations such as energy constraints and cooperative demands essential to perform sensing or data routing. The networks could be exploited more effectively if they are well managed with power consumption...
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European Alliance for Innovation (EAI)
2019-06-01
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Online Access: | https://eudl.eu/pdf/10.4108/eai.13-6-2019.159123 |
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doaj-6184be5621eb443a855d0b05d6840bd62020-11-25T01:33:56ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Industrial Networks and Intelligent Systems2410-02182019-06-0161910.4108/eai.13-6-2019.159123Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor NetworksMinh Nguyen0Hien Nguyen1Antonino Masaracchia2Cuong Nguyen3Thai Nguyen University of Technology, VietnamDuy Tan University, VietnamQueen’s University Belfast, UKUniversity of Information and Communication Technology, VietnamWireless sensor networks (WSNs) provide a lot of emerging applications. They suffer from some limitations such as energy constraints and cooperative demands essential to perform sensing or data routing. The networks could be exploited more effectively if they are well managed with power consumption since allsensors are randomly deployed in sensing areas needed to be observed without battery recharge or remote control. In this work, we proposed some stochastic-based methods to calculate total power consumption for such networks. We model common arbitrary networks with different types of sensing areas, circular and square shapes, then analyze and calculate the power consumption for data transmission based onstatistic problems. Almost common data collection methods are employed such as cluster-based, tree-based, neighborhood based and random routing. In each method, the total power consumption is formulated and then simulated to be verified. This paper shows promise that all the formulas could be applied not only on WSNs but also mobile sensor networks (MSNs) while the mobile sensors are considered moving at random positions.https://eudl.eu/pdf/10.4108/eai.13-6-2019.159123wireless sensor networksdata collectionclusteringrandom walkrouting treepower consumption |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Minh Nguyen Hien Nguyen Antonino Masaracchia Cuong Nguyen |
spellingShingle |
Minh Nguyen Hien Nguyen Antonino Masaracchia Cuong Nguyen Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks EAI Endorsed Transactions on Industrial Networks and Intelligent Systems wireless sensor networks data collection clustering random walk routing tree power consumption |
author_facet |
Minh Nguyen Hien Nguyen Antonino Masaracchia Cuong Nguyen |
author_sort |
Minh Nguyen |
title |
Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks |
title_short |
Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks |
title_full |
Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks |
title_fullStr |
Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks |
title_full_unstemmed |
Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks |
title_sort |
stochastic-based power consumption analysis for data transmission in wireless sensor networks |
publisher |
European Alliance for Innovation (EAI) |
series |
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
issn |
2410-0218 |
publishDate |
2019-06-01 |
description |
Wireless sensor networks (WSNs) provide a lot of emerging applications. They suffer from some limitations such as energy constraints and cooperative demands essential to perform sensing or data routing. The networks could be exploited more effectively if they are well managed with power consumption since allsensors are randomly deployed in sensing areas needed to be observed without battery recharge or remote control. In this work, we proposed some stochastic-based methods to calculate total power consumption for such networks. We model common arbitrary networks with different types of sensing areas, circular and square shapes, then analyze and calculate the power consumption for data transmission based onstatistic problems. Almost common data collection methods are employed such as cluster-based, tree-based, neighborhood based and random routing. In each method, the total power consumption is formulated and then simulated to be verified. This paper shows promise that all the formulas could be applied not only on WSNs but also mobile sensor networks (MSNs) while the mobile sensors are considered moving at random positions. |
topic |
wireless sensor networks data collection clustering random walk routing tree power consumption |
url |
https://eudl.eu/pdf/10.4108/eai.13-6-2019.159123 |
work_keys_str_mv |
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