Power conservation and quality of surveillance in target tracking sensor networks

Gui, Chao; Mohapatra, Prasant

doi:10.1145/1023720.1023734

Cited by 382 publications

(342 citation statements)

References 22 publications

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“…For example, when the target passes through the 1 t point as shown in Fig. 1, all nodes do not need to join in the task for tracking a mobile target.…”

Section: Proposed Tracking Methodsmentioning

confidence: 99%

“…1, all nodes do not need to join in the task for tracking a mobile target. Instead, it is more energy efficient for only the nodes 1 S around the mobile object to join in collecting information of the target and performing collaborative work among them. Other nodes located far from the target do not need to waste their powers to monitor the target.…”

Section: Proposed Tracking Methodsmentioning

confidence: 99%

“…1, where a thick line indicates the moving path of the mobile target and the blacked circles inside the dotted circle are tracking nodes at time 1 t . Thus, sensor nodes need to control their states by themselves based on prediction of target's movement.…”

Section: Fig 1 a Concept Of Tracking Of A Mobile Objectmentioning

confidence: 99%

“…Many tracking protocols in large-scale sensor networks have been proposed to solve the problems concerned with tracking of the mobile targets from various angles [1,2].…”

Section: Introductionmentioning

confidence: 99%

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An Energy Efficient Tracking Method in Wireless Sensor Networks

Kim

Han

2006

Next Generation Teletraffic and Wired/Wireless Advanced Networking

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Abstract. Since it is difficult to replace batteries of the sensor nodes that are once deployed in the field, energy saving is one of the most critical issues for object tracking in wireless sensor networks. It is desirable that only the nodes surrounding the mobile target should be responsible for observing the target to save the energy consumption and extend the network lifetime as well by reducing the number of participating nodes. The number of nodes participating in object tracking can be reduced by an accurate estimation of the target location. In this paper, we propose a tracking method that can reduce the number of participating sensor nodes for target tracking. We show that our tracking method performs well in terms of energy saving regardless of mobility pattern of the mobile target.

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“…For example, when the target passes through the 1 t point as shown in Fig. 1, all nodes do not need to join in the task for tracking a mobile target.…”

Section: Proposed Tracking Methodsmentioning

confidence: 99%

Section: Proposed Tracking Methodsmentioning

confidence: 99%

Section: Fig 1 a Concept Of Tracking Of A Mobile Objectmentioning

confidence: 99%

“…Many tracking protocols in large-scale sensor networks have been proposed to solve the problems concerned with tracking of the mobile targets from various angles [1,2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Energy Efficient Tracking Method in Wireless Sensor Networks

Kim

Han

2006

Next Generation Teletraffic and Wired/Wireless Advanced Networking

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“…Specifically, existing platforms (e.g., nesC/TinyOS [4]) for programming sensor networks use event-driven programming model and, hence, require the designer be responsible for stack management, buffer management, and flow control [5,6]. Therefore, to rapidly prototype and quickly evaluate protocols, the designers of existing power management protocols (e.g., [7][8][9][10][11][12][13]) implement their own simulators or model their protocols in specialized simulators (e.g., GloMoSim [14]). However, it is desirable that the designers prototype their protocols in nesC/TinyOS platform as it provides a framework for generating both simulation as well as production code from the same source.…”

Section: Introductionmentioning

confidence: 99%

A Case Study on Prototyping Power Management Protocols for Sensor Networks

Arumugam

Wang

Kulkarni

2006

Lecture Notes in Computer Science

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Abstract. Power management is an important problem in battery powered sensor networks as the sensors are required to operate for a long time (usually, several weeks to several months). One of the challenges in developing power management protocols for sensor networks is prototyping. Specifically, existing programming platforms for sensor networks (e.g., nesC/TinyOS) use an event-driven programming model and, hence, require the designers to be responsible for stack management, buffer management, flow control, etc. Therefore, the designers simplify prototyping their solutions either by implementing their own discrete event simulators or by modeling them in specialized simulators. To enable the designers to prototype power management protocols in target platform (e.g., nesC/TinyOS), in this paper, we use ProSe, a programming tool for sensor networks. ProSe enables the designers to specify their programs in simple abstract models while hiding low-level challenges of sensor networks and programming-level challenges. As a case study, in this paper, we specify a power management protocol with ProSe, automatically generate the corresponding nesC/TinyOS code, and evaluate its performance. Based on the performance results, we expect that ProSe enables the designers to rapidly prototype, quickly deploy, and easily evaluate their protocols.

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Sensor Area Coverage

Liu

Nayak

2010

Wireless Sensor and Actuator Networks

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Power conservation and quality of surveillance in target tracking sensor networks

Cited by 382 publications

References 22 publications

An Energy Efficient Tracking Method in Wireless Sensor Networks

An Energy Efficient Tracking Method in Wireless Sensor Networks

A Case Study on Prototyping Power Management Protocols for Sensor Networks

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