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Optimised use of nodes in Wireless Sensor Network: A novel approach to overcome the effect of interference

机译:无线传感器网络中节点的优化使用:一种克服干扰影响的新颖方法

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Wireless Sensor Networks have highly been in demand in the recent times for monitoring and controlling purposes. Low cost, low power and simpler architecture involving the wireless sensor modules have made them quite an acceptable tool for data monitoring. But interference has been the major area of concern in WSN which often leads to data loss during data monitoring and have immense ill-effects in controlling of the processes. A large number of wireless nodes communicating in the same frequency range results in signal crossovers. On the other hand, use of less number of routers reduces the system reliability because failure of a single router may cut out communication with a particular sensor. Hence, number of routers used in the network needs to be optimized subject to the constraint that each router should be capable of handling data from multiple tags. In this work, Cultural Algorithm has been employed in a model area consisting of 40 sensors to calculate the optimum number of routers required for efficient performance of the entire network. The results obtained ensure a less interfered and highly reliable network with all the sensor data being collected.
机译:为了监视和控制的目的,近来对无线传感器网络的需求很高。涉及无线传感器模块的低成本,低功耗和更简单的体系结构已使它们成为用于数据监视的公认工具。但是,干扰一直是WSN的主要关注领域,它通常会导致数据监视期间的数据丢失,并且在过程控制中产生巨大的不良影响。在相同频率范围内进行通信的大量无线节点会导致信号交叉。另一方面,使用较少数量的路由器会降低系统可靠性,因为单个路由器的故障可能会切断与特定传感器的通信。因此,在网络中使用的路由器的数量需要受到每个路由器应该能够处理来自多个标签的数据的约束的条件下进行优化。在这项工作中,在包含40个传感器的模型区域中采用了文化算法,以计算整个网络高效运行所需的最佳路由器数量。获得的结果可确保收集所有传感器数据的同时减少干扰并提高网络可靠性。

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