An effective discriminator for differentiating the root causes of packet transmission failures in indoor WSNs

doi:10.1002/ett.3135

	An effective discriminator for differentiating the root causes of packet transmission failures in indoor WSNs
	Huang, Tingpei 1; Chen, Haiming 2; Cui, Li 2; Li, Shibao 1
	2017-07-01
发表期刊	TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
ISSN	2161-3915
卷号	28 期号:7 页码:17
摘要	It is well known that there are 2 kinds of causes, namely, channel errors and collisions, which lead to high probability of packet transmission failures in wireless networks. The ability of discriminating the above causes provides many opportunities for implementing high efficient networking protocols in wireless sensor networks. This paper presents EasiPLED, an effective discriminator that can accurately and timely predict these causes. EasiPLED has 3 salient features. First, it investigates frame-level bit error rate (F-BER) patterns and statistic characteristics of received signal strength indicator (RSSI) and link quality indicator through extensive indoor experiment studies. The F-BER is measured at the receiver side by a coarse-grained method without incurring any overhead. An adaptive RSSI estimator based on error-based filter is proposed to mitigate effects of environment noises and hardware limitations on RSSI readings. Second, EasiPLED designs an off-line classifier using machine learning method, which takes a combination of F-BER and RSSI features as input and outputs the probability of dominant factor that causes transmission failures. Finally, it presents an on-line discriminator to diagnose the cause of a failed transmission when it occurs at the receiver side, which achieves an accuracy by up to 95.4%. We evaluate the effectiveness of EasiPLED by applying it to link-layer retransmission scheme and probabilistic polling protocol. Experimental results demonstrate that our method yields a reduction of single-hop transmission delay by up to 47% and provides high packet delivery ratios as compared to the existing retransmission methods. The EasiPLED-based probabilistic polling protocol achieves by up to 41.4% throughput gain over the existing method.
DOI	10.1002/ett.3135
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China (NSFC)[61402433] ; National Natural Science Foundation of China (NSFC)[61303246] ; National Natural Science Foundation of China (NSFC)[61672498] ; Fundamental Research Funds for the Central Universities[16CX02007A]
WOS研究方向	Telecommunications
WOS类目	Telecommunications
WOS记录号	WOS:000406307000003
出版者	WILEY
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/6589
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Huang, Tingpei
作者单位	1.China Univ Petr, Qingdao, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Huang, Tingpei,Chen, Haiming,Cui, Li,et al. An effective discriminator for differentiating the root causes of packet transmission failures in indoor WSNs[J]. TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES,2017,28(7):17.
APA	Huang, Tingpei,Chen, Haiming,Cui, Li,&Li, Shibao.(2017).An effective discriminator for differentiating the root causes of packet transmission failures in indoor WSNs.TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES,28(7),17.
MLA	Huang, Tingpei,et al."An effective discriminator for differentiating the root causes of packet transmission failures in indoor WSNs".TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES 28.7(2017):17.