无线传感器网络干扰分类识别机制的研究

doi:10.3969/j.issn.1000-436x.2013.10.004

摘要/Abstract

摘要：

针对在优化无线传感器网络传输性能时，识别出网络是否受到干扰并区分网络内与网络间的干扰类型是首要解决的问题。设计并实现了一种能够识别传感器网络干扰并区分网内、网间干扰类型的机制。首先通过实验获得了传感器网络在常见干扰状态下的有关性能参数，并对这些参数进行了相关性分析，之后基于Logistic 分类模型建立了干扰状态以及网内、网间干扰类型的识别模型，并根据实测数据确定了该模型的参数。实际测试表明基于该分类模型的分类识别方法的准确率可达到97%以上，能够有效解决发现网络受到干扰的情况以及对网络干扰识别的问题。

关键词: 无线传感器网络, 干扰识别, Logistic模型, 相关性分析, 分类

Abstract:

The interference identification and classification of wireless sensor networks are important problems to im-prove network performance.To solve such problems,methods for interference identification and classification were de-signed and implemented.The experimental transmission parameters of the sensor nodes were obtained in differ-ent interference state,and then the Logistic model was used to identify the state of interference and classify the type of the interference based on the parameters given.The actual network data tests show that the classification model in the identification accuracy can be achieved more than 97%,which can effectively address the problem of recognition of net-work interference.

Key words: wireless sensor network, interference identification, Logistic model, correlation analysis, classification

赵泽,尚鹏飞,陈海明,刘强,李栋,张招亮,崔莉. 无线传感器网络干扰分类识别机制的研究[J]. 通信学报, 2013, 34(10): 28-36.

Ze ZHAO,Peng-fei SHANG,Hai-ming CHEN,Qiang LIU,Dong LI,Zhao-liang ZHANG,Li CUI. Interference identification and classification mechanism for wireless sensor network[J]. Journal on Communications, 2013, 34(10): 28-36.

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参考文献 14

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[14]	.

	Length	TxPower	RSSI	LQI	CCAtimes	Throughput	PRR
Length	1.000	0.000	0.006	0.021	0.025	0.802	-0.267
TxPower	0.000	1.000	0.937	0.775	-0.017	0.409	0.784
RSSI	0.006	0.937	1.000	0.833	0.003	0.427	0.814
LQI	0.021	0.775	0.833	1.000	0.019	0.395	0.706
CCAtimes	0.025	-0.017	0.003	0.019	1.000	-0.004	0.023
Throughput	0.802	0.409	0.427	0.395	-0.004	1.000	0.227
PRR	-0.267	0.784	0.814	0.706	0.023	0.227	1.000

	Length	TxPower	RSSI	LQI	CCAtimes	Throughput	PRR	Int_Length	Int_Power
Length	1.000	0.005	-0.006	0.185	0.011	0.675	-0.251	-0.003	0.000
TxPower	0.005	1.000	0.742	0.188	-0.039	0.265	0.456	-0.005	-0.033
RSSI	-0.006	0.742	1.000	0.508	0.158	0.246	0.588	0.005	0.192
LQI	0.185	0.188	0.508	1.000	0.198	0.234	0.290	0.095	0.162
CCAtimes	0.011	-0.039	0.158	0.198	1.000	-0.385	0.032	0.536	0.539
Throughput	0.675	0.265	0.246	0.234	-0.385	1.000	0.199	-0.305	-0.216
PRR	-0.251	0.456	0.588	0.290	0.032	0.199	1.000	-0.009	-0.023
Int_Length	-0.003	-0.005	0.005	0.095	0.536	-0.305	-0.009	1.000	0.004
Int_Power	0.000	-0.033	0.192	0.162	0.539	-0.216	-0.023	0.004	1.000

	Length	TxPower	RSSI	LQI	CCAtimes	Throughput	PRR	Int_Length	Int_Power
Length	1.000	0.074	0.012	0.165	-0.286	-0.237	-0.626	-0.097	-0.080
TxPower	0.074	1.000	0.652	0.451	-0.043	0.179	0.133	-0.086	0.093
RSSI	0.012	0.652	1.000	0.749	0.188	-0.136	-0.048	0.410	-0.198
LQI	0.165	0.451	0.749	1.000	0.142	-0.255	-0.214	0.377	-0.109
CCAtimes	-0.286	-0.043	0.188	0.142	1.000	-0.285	-0.021	0.553	0.157
Throughput	-0.237	0.179	-0.136	-0.255	-0.285	1.000	0.877	-0.690	-0.035
PRR	-0.626	0.133	-0.048	-0.214	-0.021	0.877	1.000	-0.410	0.055
Int_Length	-0.097	-0.086	0.410	0.377	0.553	-0.690	-0.410	1.000	0.013
Int_Power	-0.080	0.093	-0.198	-0.109	0.157	-0.035	0.055	0.013	1.000

参数	b
RSSI	0.021 3
LQI	0.017 5
CCATimes	-0.005 6
Throughput	-2.094 6×10^{- 4}
PRR	7.562 4
e₁	-0.429 5

参数	b′
RSSI	-0.030 3
LQI	0.138 6
CCA Times	-0.010 1
Throughput	5.104 8×10^{- 5}
PRR	0.578 1
e₂	-16.954 7