Abstract
The surveillance system, which is mainly used for detecting and tracking moving targets, is one of the most significant applications of wireless sensor networks. Up to present, received signal strength indicator is the most common measuring mean for estimating the distance in sensor networks. However, in the presence of noise, it is impossible to gain the accurate distance based on received signal strength indicator. In this article, we propose a new tracking scheme based on received signal strength difference, which is the difference value of received signal strength indicators between two neighboring sampling steps. Supposing the noise has a certain degree of correlation in a certain time interval, received signal strength difference can effectively reduce the negative impact from noise. The tracking algorithm based on received signal strength difference is built: The sensor nodes collectively estimate a possible zone of the target via the signs of received signal strength difference. Next, the possible zone is further immensely shrunk to the refined zone via the absolute values of received signal strength difference. Finally, we determine the target’s final location by choosing the reference dot with the minimum norm in the refined zone. The simulation results demonstrate that the proposed tracking method achieves higher localization accuracy than the typical received signal strength indicator–based scheme. The received signal strength difference–based method also has good generality and robustness with respect to the noises with different deviation values and the target following arbitrarily state model.
Highlights
Wireless sensor networks (WSNs) are composed of numerous low-power sensor nodes, which have captured the attention of many researchers in recent years
Modern tracking problems in WSNs are of great importance in a variety of surveillance scenes, security applications, and intelligent monitor systems.[7]
We propose a brand new tracking method based on received signal strength difference (RSSD) to estimate the trajectory of the mobile target under the supervision of WSNs
Summary
Wireless sensor networks (WSNs) are composed of numerous low-power sensor nodes, which have captured the attention of many researchers in recent years. It is common to make a system calibration, where the relationship between the RSSI and the distance is evaluated in advance by a controlled environment to reduce average error.[17] it is inevitable to increase the workload and energy cost of the sensor nodes due to the calibration. We propose a brand new tracking method based on received signal strength difference (RSSD) to estimate the trajectory of the mobile target under the supervision of WSNs. The RSSD method is figured out by the difference value of two RSSIs corresponding to two diverse sampling times of one particular sensor node, instead of using one single RSSI at one sampling time. The RSSD-based localization algorithm is designed as follows: First, through the sign of RSSD, reflecting the changing trend of RSSI, we define a possible zone as our initial estimation region of the target’s location. Simulation results are presented in section ‘‘Simulation results.’’ conclusion is provided in section ‘‘Conclusion.’’
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