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Deployment design of wireless sensor network for simple multi-point surveillance of a moving target.

Tsukamoto K, Ueda H, Tamura H, Kawahara K, Oie Y - Sensors (Basel) (2009)

Bottom Line: We first propose two simple multi-point surveillance schemes for a moving target in a WSN and demonstrate that one of the schemes can achieve high tracking probability with low power consumption.In addition, we examine the relationship between tracking probability and sensor density through simulations, and then derive an approximate expression representing the relationship.As the results, we present guidelines for sensor density, tracking probability, and the number of monitoring sensors that satisfy a variety of application demands.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Electronics, Kyushu Institute of Technology, 680-4, Kawazu, Iizuka, 820-8502 Japan; E-Mails: kawahara@cse.kyutech.ac.jp ; oie@cse.kyutech.ac.jp.

ABSTRACT
In this paper, we focus on the problem of tracking a moving target in a wireless sensor network (WSN), in which the capability of each sensor is relatively limited, to construct large-scale WSNs at a reasonable cost. We first propose two simple multi-point surveillance schemes for a moving target in a WSN and demonstrate that one of the schemes can achieve high tracking probability with low power consumption. In addition, we examine the relationship between tracking probability and sensor density through simulations, and then derive an approximate expression representing the relationship. As the results, we present guidelines for sensor density, tracking probability, and the number of monitoring sensors that satisfy a variety of application demands.

No MeSH data available.


Power consumption (state), Es.
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f8-sensors-09-03563: Power consumption (state), Es.

Mentions: Figure 8 shows the effect of the moving speed of the target on Es in the primitive and sophisticated schemes. Figure 8 indicates that the power consumption of the primitive scheme increases drastically when the target moves at high speed. In the primitive scheme, each sensor waits for a random delay time from 0 to 1 [sec] to avoid collisions with frames sent by other Active sensors. Therefore, the latency until the required number of sensors for monitoring are selected (Et) increases, and thus Es of the primitive scheme becomes significantly larger than that of the sophisticated scheme. Furthermore, the number of ALERT messages increases in response to the increase in target speed. As a result, Es increases drastically.


Deployment design of wireless sensor network for simple multi-point surveillance of a moving target.

Tsukamoto K, Ueda H, Tamura H, Kawahara K, Oie Y - Sensors (Basel) (2009)

Power consumption (state), Es.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3297123&req=5

f8-sensors-09-03563: Power consumption (state), Es.
Mentions: Figure 8 shows the effect of the moving speed of the target on Es in the primitive and sophisticated schemes. Figure 8 indicates that the power consumption of the primitive scheme increases drastically when the target moves at high speed. In the primitive scheme, each sensor waits for a random delay time from 0 to 1 [sec] to avoid collisions with frames sent by other Active sensors. Therefore, the latency until the required number of sensors for monitoring are selected (Et) increases, and thus Es of the primitive scheme becomes significantly larger than that of the sophisticated scheme. Furthermore, the number of ALERT messages increases in response to the increase in target speed. As a result, Es increases drastically.

Bottom Line: We first propose two simple multi-point surveillance schemes for a moving target in a WSN and demonstrate that one of the schemes can achieve high tracking probability with low power consumption.In addition, we examine the relationship between tracking probability and sensor density through simulations, and then derive an approximate expression representing the relationship.As the results, we present guidelines for sensor density, tracking probability, and the number of monitoring sensors that satisfy a variety of application demands.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Electronics, Kyushu Institute of Technology, 680-4, Kawazu, Iizuka, 820-8502 Japan; E-Mails: kawahara@cse.kyutech.ac.jp ; oie@cse.kyutech.ac.jp.

ABSTRACT
In this paper, we focus on the problem of tracking a moving target in a wireless sensor network (WSN), in which the capability of each sensor is relatively limited, to construct large-scale WSNs at a reasonable cost. We first propose two simple multi-point surveillance schemes for a moving target in a WSN and demonstrate that one of the schemes can achieve high tracking probability with low power consumption. In addition, we examine the relationship between tracking probability and sensor density through simulations, and then derive an approximate expression representing the relationship. As the results, we present guidelines for sensor density, tracking probability, and the number of monitoring sensors that satisfy a variety of application demands.

No MeSH data available.