WBAN(无线体域网络)的一跳到一跳节能传输

Er. Pinki Rani, Er. Rajnish Kansal
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摘要

众所周知,网络能量的守恒和保存是无线传感器网络中传感器节点的主要目标之一。当我们谈论无线体域网络(WBAN)时,这一点变得更加重要。在这种情况下,传感器节点要么非常接近人体,要么在人体内部工作。因此,性能在这里是一个非常重要的任务。在这个项目中,我们的目标是在传输过程中减少能源消耗。当传感器节点参与或不参与传输过程时,我们倾向于在工作/非工作状态之间进行策略切换。这就是,我们能够将网络时间大大增加。其他欺骗性参数也要计算。随着科技的进步,我们现在有了可穿戴的生理监测系统。在这个概念中,一个人将穿着一件嵌入了一系列传感器的织物。所有这些传感器都将连接到一个中央监控系统。传感器将不断向这些中央监控系统发送数据。因此,无线传感器现在被用作可穿戴设备。但这里的限制是它们的能量非常有限。当涉及到医学术语时,仪器的每一个故障都可能是决定健康生活或未被注意疾病原因的因素。因此,对这些传感器进行工作并延长它们的使用寿命变得非常重要,这样它们的监测就不会受到影响。我们有很多方法可以做到这一点。在这个领域已经做了大量的研究。我们正在研究一种算法,在这种算法中,传感器节点将根据其使用情况有策略地打开或关闭。这样,传感器只会使用适量的能量,更大程度上保留了整个系统或网络的整体能量。
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A Hop To Hop Energy Efficient Transmission for WBAN (Wireless Body Area Network)
It is a familiar fact that conservation and preservation of network energy is one of the primary objectives of the sensor nodes in a wireless sensor network. This becomes even more important when we are talking about Wireless Body Area Network (WBAN). In this case, the sensor nodes are working either very close to or inside a human body. Hence performance is a very important task here. In this project we aim to reduce the consumption of energy while a transmission is made. We tend to strategically toggle between working/non-working status of a sensor node while it is being involved or not involved in the transmission process. This was, we are able to increase the network time by a very good amount. Other deceptive parameters are also to be calculated. With the advancement in technology, we now have access to wearable physiological monitoring system. In this concept, an individual will wear a fabric in which a collection of sensors will be embedded. All these sensors will be connected to a central monitoring system. Sensors will continuously send data to these central monitoring systems. Hence, wireless sensors are now being used as wearable gadgets. But the limitation here is that they have very limited amount of energy. And when it comes in medical terms, every fault in an instrument can be a factor in determining the cause of a healthy life or an unnoticed illness. Hence, it becomes very important to work on these sensors and give them a long lifetime so that their monitoring does not get affected. There are many ways we can achieve this. Good amount of research has been done in this domain. We here are working on an algorithm in which a sensor node will be strategically switched on and off based upon its usage. This way, only the appropriate amount of energy will be used by the sensor and overall energy of the complete system or network will be preserved on a larger extent.
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