iMouse: An Integrated Mobile Surveillance and Wireless Sensor System

Tseng, Yu–Chee; Wang, You-Cbiun; Cheng, Kai-Yang; Hsieh, Yao-Yu

doi:10.1109/mc.2007.211

Cited by 131 publications

(66 citation statements)

References 10 publications

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“…Incorporating the environment-sensing capability of wireless sensor networks into video-based surveillance systems can provide advanced services at a lower cost than traditional surveillance systems [3]. The integrated mobile surveillance and wireless sensor system uses static and mobile wireless sensors to detect and then analyze unusual events in the environment.…”

Section: Divided-and-conquer (Dandc) Solutionmentioning

confidence: 99%

A Survey of Energy Efficient Mobile Sensor Dispatch in Wireless Sensor Network

Balaganesh¹,

Johnson²

2014

IJCA

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The survey tires to review the sensor dispatch in wireless sensor network. The wireless sensor networks contain static nodes and mobile nodes. In this paper we discuss movement of multi attribute mobile path and the issues of travelling path of mobile sensor. Mobility in wireless sensor networks is controllable and cooperative. The mobile sensor dispatch to the event location without any obstacles to reach the location and travelling in a shortest path. The wireless sensor network scheduled to the travelling path of mobile sensor as to extend a life time using multi round multi attribute sensor. MAM sensors are equipped with multiple sensing devices and can visit event locations to perform more in depth analysis.

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Section: Divided-and-conquer (Dandc) Solutionmentioning

confidence: 99%

A Survey of Energy Efficient Mobile Sensor Dispatch in Wireless Sensor Network

Balaganesh¹,

Johnson²

2014

IJCA

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“…Target tracking is one of the most important applications of wireless sensor networks, such as healthcare, building and military monitoring, home security [3], [4], [5]. So a lot of useful application can benefit greatly from accurate tracking.…”

Section: Related Workmentioning

confidence: 99%

Target Tracking with Limited Sensing Range in Autonomous Mobile Sensor Networks

Bai

Cheng

Chen

et al. 2012

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems

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Abstract-As technology advancements in robotics and wireless communication, tracking mobile targets using mobile sensors has aroused widespread concern in recent years. In this paper, we propose a novel coordinative moving strategy for autonomous mobile sensor networks to guarantee the target can be detected in each observed step while minimizing the amount of moving sensors. The proposed scheme consists of obtaining the current position of the target, which is then used to predict the next time-step location of the target. Once the uncertainty region of the target's position is defined, the proposed method allows the mobile sensors to cover it in an optimal way. Therefore, we can assign each mobile sensor to an optimal location to cover the uncertainty region while minimizing the total traveled distance of sensors. Extensive simulations are given to evaluated performance and demonstrate the efficiency of the proposed strategy.

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“…In recent years, problems related to distributed surveillance have received an increasing amount of attention from researchers in academia, government laboratories and industry (Liu et al, 2000;Collins et al, 2001;Foresti and Snidaro, 2003;Tseng et al, 2005;Settembre et al, 2008;Miao, 2010;Elmogy, 2010). This research activity has borne some fruit in tackling some of the challenging problems, which are still open.…”

Section: Introductionmentioning

confidence: 99%

Cooperation in distributed surveillance systems for dense regions

Benaskeur

Khamis

Irandoust

2011

IJIDSS

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Abstract:In this paper, we envision a distributed surveillance system where spatially distributed sensors of different modalities can sense collaboratively and continuously large-scale, dynamic, dense and semi-structured environments. The paper discusses surveillance operations in complex and dense environments, such as littoral regions, and describes the key features of distributed surveillance systems. Effective and robust cooperation among the artificial and/or the human agents can synergistically improve the performance of these systems and can endow them with higher-level faculties, such as cooperative target detection and tracking. Different forms of cooperative activities in distributed surveillance systems are mentioned. The paper focuses on intra and inter-platform target cueing and handoff as augmentative forms of cooperation in distributed surveillance.

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iMouse: An Integrated Mobile Surveillance and Wireless Sensor System

Cited by 131 publications

References 10 publications

A Survey of Energy Efficient Mobile Sensor Dispatch in Wireless Sensor Network

A Survey of Energy Efficient Mobile Sensor Dispatch in Wireless Sensor Network

Target Tracking with Limited Sensing Range in Autonomous Mobile Sensor Networks

Cooperation in distributed surveillance systems for dense regions

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