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EEFFL: energy efficient data forwarding for forest fire detection using localization technique in wireless sensor network
Wireless Networks ( IF 3 ) Pub Date : 2020-06-16 , DOI: 10.1007/s11276-020-02393-1
Raj Vikram , Ditipriya Sinha , Debashis De , Ayan Kumar Das

Abstract

Early prediction of a forest fire is one of the critical research challenges of the wireless sensor network (WSN) to save our ecosystem. In WSN based forest fire detection system, sensor nodes are deployed in the remote forest area for transmitting the sensed data to the base station, which is accessible by the forest department. Though sensor nodes in the forest are localized through GPS connection, the high deployment cost for it motivates the authors of this paper to design a novel localization technique applying the Support Vector Machine. Forest fire prediction in an energy efficient way is another concern of this paper. The semi-supervised classification model is proposed to address this problem by dividing the forest area into different zones [High Active (HA), Medium Active (MA), and Low Active (LA)]. It is designed in such a way that it can be able to predict the state of the (HA, MA, LA) fire zone with 90% accuracy when only one parameter is sensed by sensor nodes due to energy constraints. The greedy forwarding technique is used to transmit the packets from the HA zone to the base station continuously, and the MA zone transmits packets periodically, whereas, LA zone avoids transmitting the sensed data to the base station. This technique of data forwarding enhances network lifetime and reduces congestion during data transmission from the forest area to the base station.

Graphic abstract



中文翻译:

EEFFL:在无线传感器网络中使用定位技术进行森林火灾检测的节能数据转发

摘要

森林火灾的早期预测是无线传感器网络(WSN)保护我们的生态系统的关键研究挑战之一。在基于WSN的森林火灾检测系统中,传感器节点部署在远程森林区域中,用于将感测到的数据传输到基站,森林部门可以访问该基站。尽管森林中的传感器节点通过GPS连接进行了本地化,但部署成本高昂,促使本文的作者设计了一种使用支持​​向量机的新型定位技术。以节能方式进行森林火灾的预测是本文的另一个关注点。提出了半监督分类模型来解决此问题,方法是将森林面积划分为不同的区域[高活动(HA),中活动(MA)和低活动(LA)]。它的设计方式使得当由于能量限制而仅由传感器节点感测到一个参数时,它能够以90%的精度预测(HA,MA,LA)着火区域的状态。贪婪转发技术用于将数据包从HA区域连续传输到基站,而MA区域则周期性地传输数据包,而LA区域避免将感测到的数据传输到基站。这种数据转发技术可延长网络寿命,并减少从林区到基站的数据传输过程中的拥塞。MA区域周期性地发送分组,而LA区域避免将感测到的数据发送给基站。这种数据转发技术可延长网络寿命,并减少从林区到基站的数据传输过程中的拥塞。MA区域周期性地发送分组,而LA区域避免将感测到的数据发送给基站。这种数据转发技术可延长网络寿命,并减少从林区到基站的数据传输过程中的拥塞。

图形摘要

更新日期:2020-06-16
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