Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of transmissions
Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of transmissions
复制标题
通过身体传感器网络中的缓冲区分配进行突发通信：利用信号处理来减少传输次数
DOI：
10.1109/jsac.2010.100912
复制
发表时间：
2010
影响因子：
16.4
通讯作者：
R. Jafari
中科院分区：
文献类型：
--
作者：
Hassan Ghasemzadeh;Vitali Loseu;S. Ostadabbas;R. Jafari
使用无线传感设备监测人体运动有望彻底改变医疗保健服务的提供。此类平台使用对象的惯性信息进行运动分析。潜在地，每个动作或疾病可以通过协作处理来自身体上多个位置的传感器数据来发现。该功能由身体传感器网络（BSN）提供，该网络由位于身体不同部位的多个无线传感器节点组成。尽管该平台具有革命性的潜力，但功率要求和可穿戴性限制了这些系统的商业化。在本文中，我们提出了一个节能的通信模型，BSN应用程序，使用缓冲区限制通信短突发，降低功耗和简化的通信。我们制定了一个优化问题，以减少传感器节点之间的传输，并提出了一个基于ILP的解决方案和快速贪婪启发式算法。我们表明，尽管传输效率下降，我们的贪婪算法可以通过快速分配的缓冲区实时。我们的实验比较的性能所提出的方法的性能的无缓冲系统。我们的研究结果表明，ILP和贪婪的解决方案可以减少传输量的平均因子分别为70和41。
Monitoring human movements using wireless sensory devices promises to revolutionize the delivery of healthcare services. Such platforms use inertial information of their subjects for motion analysis. Potentially, each action or disease can be discovered by collaborative processing of sensor data from multiple locations on the body. This functionality is provided by a Body Sensor Network (BSN), which consists of several wireless sensor nodes positioned on different parts of the body. In spite of the revolutionary potential of this platform, power requirements and wearability have limited the commercialization of these systems. In this paper, we present an energy-efficient communication model for BSN applications which uses buffers to limit communication to short bursts, decreasing power usage and simplifying the communication. We formulate an optimization problem to reduce transmissions among sensor nodes and present an ILP-based solution and a fast greedy heuristic algorithm. We show that despite the decreased transmission efficiency, our greedy algorithm can be adopted for fast allocation of buffers in real-time. We experimentally compare the performance of both of the proposed approaches to the performance of an unbuffered system. Our results demonstrate that ILP and greedy solutions can reduce the amount of transmissions by an average factor of 70 and 41, respectively.