Sleep Schedule for Fast and Efficient Control of Parameters in Wireless Sensor-Actor Networks
Sleep Schedule for Fast and Efficient Control of Parameters in Wireless Sensor-Actor Networks
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DOI：
10.1109/comswa.2006.1665220
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发表时间：
2006-08
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影响因子：
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通讯作者：
N. A. Vasanthi;S. Annadurai
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文献类型：
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作者：
N. A. Vasanthi;S. Annadurai
无线传感器-执行器网络可以在各种应用中提供遥感和致动服务。根据不同的应用，网络应该快速响应传感器输入的关键变化，并采取适当的控制行动的演员节点没有任何延迟。为了延长传感器网络的生命周期，使用睡眠调度算法来节省能量。虽然现有的方法节省了能量，但它们导致端到端延迟的大幅增加，这影响了需要快速控制动作的传感器-执行器网络的效率。我们提出了一种新的睡眠时间表的节点的无线电快速和有效的控制参数（SEC）的传感器-演员网络的半自动化架构，需要最小的延迟。在正常操作期间，传感器节点使用静态调度定期感测参数。如果任何参数的值超过设定点，则宿计算误差信号，并且睡眠调度被动态地改变以激活感兴趣区域中的动作器节点。使对应的传感器-执行器节点完全激活，直到误差信号变为零，即直到参数被带入设定点内。我们的协议的目标是：（1）通过使用动态调度在适当的持续时间内激活执行器节点来最小化控制参数的延迟;（2）仅当参数超过设定点时，通过完全激活相邻的传感器-执行器节点来减少能量消耗。仿真结果表明，SEC协议比S-MAC协议性能更好，在最小能耗的情况下，延迟降低了近80%
Wireless sensor-actor networks can provide remote sensing and actuation services in a variety of applications. Depending on the application, the network should rapidly respond to critical variations in sensor input and take appropriate control action by the actor nodes without any delay. In order to prolong the lifetime of sensor networks, energy saving is done using sleep scheduling algorithms. Though the existing methods save energy, they lead to a large increase in end-to-end latency, which affects the efficiency of the sensor-actor network that requires fast control action. We propose a novel sleep schedule for the radio of the nodes for fast and efficient control of parameters (SEC) in sensor-actor networks with a semi-automated architecture that require minimum latency. During normal operation, the sensor nodes sense the parameters periodically using a static schedule. If the value of any parameter exceeds the set point the sink calculates the error signal and the sleep schedule is changed dynamically to activate the actor nodes in the area of interest. The corresponding sensor-actor nodes are made completely active till the error signal becomes zero, i.e. till the parameters are brought within the set point. The objectives of our protocol are to (1) minimize the latency in controlling the parameters by activating the actor nodes for the appropriate duration using the dynamic schedule (2) reduce the energy consumption by activating the neighboring sensor-actor nodes completely, only when parameters exceed the set point. Simulation results show that SEC protocol performs better than S-MAC by providing nearly 80% low latency with minimum energy consumption