Limits...
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.


Sensor model.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC3297123&req=5

f1-sensors-09-03563: Sensor model.

Mentions: A sensor node typically has two functions: sensing and communication. These capabilities are limited by the sensor's cost. Therefore, we assume that each sensor has only the most rudimentary capabilities of binary sensing and broadcast communication. Figure 1 shows a model of the sensor assumed in the present paper.


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)

Sensor model.
© Copyright Policy
Related In: Results  -  Collection

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

f1-sensors-09-03563: Sensor model.
Mentions: A sensor node typically has two functions: sensing and communication. These capabilities are limited by the sensor's cost. Therefore, we assume that each sensor has only the most rudimentary capabilities of binary sensing and broadcast communication. Figure 1 shows a model of the sensor assumed in the present paper.

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.