• Title/Summary/Keyword: Selective Wakeup

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Cluster-based Continuous Object Prediction Algorithm for Energy Efficiency in Wireless Sensor Networks (무선 센서 네트워크에서 에너지 효율성을 위한 클러스터 기반의 연속 객체 예측 기법)

  • Lee, Wan-Seop;Hong, Hyung-Seop;Kim, Sang-Ha
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.8C
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    • pp.489-496
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    • 2011
  • Energy efficiency in wireless sensor networks is a principal issue to prolong applications to track the movement of the large-scale phenomena. It is a selective wakeup approach that is an effective way to save energy in the networks. However, most previous studies with the selective wakeup scheme are concentrated on individual objects such as intruders and tanks, and thus cannot be applied for tracking continuous objects such as wild fire and poison gas. This is because the continuous object is pretty flexible and volatile due to its sensitiveness to surrounding circumferences so that movable area cannot be estimated by the just spatiotemporal mechanism. Therefore, we propose a cluster-based algorithm for applying the efficient and more accurate technique to the continuous object tracking in enough dense sensor networks. Proposed algorithm wakes up the sensors in unit cluster where target objects may be diffused or shrunken. Moreover, our scheme is asynchronous because it does not need to calculate the next area at the same time.

A Robust Continuous Object Tracking Protocol Using Chained Selective Wakeup Strategy in Wireless Sensor Networks (무선 센서 네트워크에서 연결된 선택적 활성화 기법을 사용하는 강건한 연속 객체 추적 프로토콜)

  • Hong, Hyungseop;Kim, Sang-Ha
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.1
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    • pp.72-79
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    • 2013
  • In wireless sensor networks, the selective wakeup scheme is one of the energy saving mechanisms, that is used for an object detecting or tracking. Recently, many protocols are proposed using the selective wakeup scheme for the continuous objects tracking such as forest fires and poison gas. They predict the future shape of continuous objects and activate only sensors in the predicted boundary area of the objects. It works correctly in a uniformly deployed wireless sensor networks. However, it cannot be directly applied to a randomly deployed sensor networks with voids. When the predicted area is in the void area, the activation message cannot reach and the predicted area cannot be activated at the right time. It leads to many detection errors for continuous object. Moreover, if a sensor is once foiled in a activation control then the next activation control might be continuously failed. The detection errors can be result in serious harm to people. In this paper, we propose a chaining selective wakeup scheme for robust continuous object tracking in wireless sensor networks. In our protocol, we collect the information of a void area during the network configuration time; if the next boundary area is in the void area, we activate the chained area surrounding the void area with activation control message.