Energy-Efficient Abnormal Nodes Detection and Handlings in Wireless Sensor Networks
This paper focuses on the abnormal nodes detection of poisonous gas in wireless sensor networks, namely, finding these nodes whose concentrations are higher than the threshold. In order to detect abnormal nodes, we had better collect sensory data from all nodes. However, this strategy requires much...
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doaj-65c3586dd78d4692b8ce07df5e15de7e2021-03-29T20:02:06ZengIEEEIEEE Access2169-35362017-01-0153393340910.1109/ACCESS.2016.26259817740085Energy-Efficient Abnormal Nodes Detection and Handlings in Wireless Sensor NetworksFei Lei0Lei Yao1Deng Zhao2Yucong Duan3Faculty of Information Technology, Beijing University of Technology, Beijing, ChinaFaculty of Information Technology, Beijing University of Technology, Beijing, ChinaSchool of Information Engineering, China University of Geosciences, Beijing, ChinaCollege of Information Science and Technology, Hainan University, Haikou, ChinaThis paper focuses on the abnormal nodes detection of poisonous gas in wireless sensor networks, namely, finding these nodes whose concentrations are higher than the threshold. In order to detect abnormal nodes, we had better collect sensory data from all nodes. However, this strategy requires much more energy consumption, so we should try to wake up these nodes near the abnormal filed. Based on this observation, we propose a novel energy-efficient method to wake them up. The main idea is to let abnormal nodes send out control packets to activate their one-hop neighbor nodes; then, neighbor nodes continue detecting, and finally, all abnormal nodes send information to the sink node through the shortest paths. Thereafter, we further propose to handle these information in the sink node, including extracting boundary nodes, drawing isolines, and estimating the location of leakage source. To extract boundary nodes, we divide all abnormal nodes into different intervals in an ascending or descending order, and then find two nodes with minimum and maximum in each interval, so these nodes are regarded as boundary nodes. As to the second point, we reuse the wide-adopted interpolation methods to draw isolines, such as cubic, nearest, and invdist. Besides, we use interpolation to find the coordinate of the peak, and then, it is deemed to be the leakage source. The experimental results show that our proposed method is feasible.https://ieeexplore.ieee.org/document/7740085/Wireless sensor networkspoisonous gasenergy-efficientactivateone-hop neighbor nodeboundary nodes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fei Lei Lei Yao Deng Zhao Yucong Duan |
spellingShingle |
Fei Lei Lei Yao Deng Zhao Yucong Duan Energy-Efficient Abnormal Nodes Detection and Handlings in Wireless Sensor Networks IEEE Access Wireless sensor networks poisonous gas energy-efficient activate one-hop neighbor node boundary nodes |
author_facet |
Fei Lei Lei Yao Deng Zhao Yucong Duan |
author_sort |
Fei Lei |
title |
Energy-Efficient Abnormal Nodes Detection and Handlings in Wireless Sensor Networks |
title_short |
Energy-Efficient Abnormal Nodes Detection and Handlings in Wireless Sensor Networks |
title_full |
Energy-Efficient Abnormal Nodes Detection and Handlings in Wireless Sensor Networks |
title_fullStr |
Energy-Efficient Abnormal Nodes Detection and Handlings in Wireless Sensor Networks |
title_full_unstemmed |
Energy-Efficient Abnormal Nodes Detection and Handlings in Wireless Sensor Networks |
title_sort |
energy-efficient abnormal nodes detection and handlings in wireless sensor networks |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2017-01-01 |
description |
This paper focuses on the abnormal nodes detection of poisonous gas in wireless sensor networks, namely, finding these nodes whose concentrations are higher than the threshold. In order to detect abnormal nodes, we had better collect sensory data from all nodes. However, this strategy requires much more energy consumption, so we should try to wake up these nodes near the abnormal filed. Based on this observation, we propose a novel energy-efficient method to wake them up. The main idea is to let abnormal nodes send out control packets to activate their one-hop neighbor nodes; then, neighbor nodes continue detecting, and finally, all abnormal nodes send information to the sink node through the shortest paths. Thereafter, we further propose to handle these information in the sink node, including extracting boundary nodes, drawing isolines, and estimating the location of leakage source. To extract boundary nodes, we divide all abnormal nodes into different intervals in an ascending or descending order, and then find two nodes with minimum and maximum in each interval, so these nodes are regarded as boundary nodes. As to the second point, we reuse the wide-adopted interpolation methods to draw isolines, such as cubic, nearest, and invdist. Besides, we use interpolation to find the coordinate of the peak, and then, it is deemed to be the leakage source. The experimental results show that our proposed method is feasible. |
topic |
Wireless sensor networks poisonous gas energy-efficient activate one-hop neighbor node boundary nodes |
url |
https://ieeexplore.ieee.org/document/7740085/ |
work_keys_str_mv |
AT feilei energyefficientabnormalnodesdetectionandhandlingsinwirelesssensornetworks AT leiyao energyefficientabnormalnodesdetectionandhandlingsinwirelesssensornetworks AT dengzhao energyefficientabnormalnodesdetectionandhandlingsinwirelesssensornetworks AT yucongduan energyefficientabnormalnodesdetectionandhandlingsinwirelesssensornetworks |
_version_ |
1724195408110944256 |