提高无线传感器网络能源效率的协议,以支持移动机器人

D. Basu, G. S. Gupta, G. Moretti, X. Gui
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引用次数: 5

摘要

本文提出了一种低成本且计算成本低廉的无线传感器与基站或集线器通信的自适应传输功率控制算法。该功率控制算法可用于发射站非静态、发射台与接收站之间的距离随时间变化的场景。除此之外,在发射器和接收器之间可能存在不必要的障碍物。由于接收到的信号强度下降的主要原因是距离,因此选择一组功率水平是很重要的,它将在一个阈值错误率内传输数据包,同时节省能源。该自适应算法不使用基于接收信号强度指示器(RSSI)的信标或探测包进行信道估计,也不会在实际数据包传输之前侦听任何繁忙信道。用于协议参数评估的硬件是北欧半导体公司的nRF24L01+收发模块。该芯片价格低廉,采用自适应功率控制协议可以降低传感器网络的总体部署成本。该算法旨在满足以节能方式响应未知和可变无线电信道的挑战。自适应协议使用过去的传输经验或内存来决定新数据包传输开始的功率级别。这种轻量级协议可以应用于从传感器实时收集数据并传输到基站的移动机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protocol for improved energy efficiency in wireless sensor networks to support mobile robots
In this paper we propose a low cost and computationally inexpensive adaptive transmission power control algorithm for wireless sensors to communicate with the base station or hub. This power control algorithm can be used in scenarios where the transmitting station is not static and the distance between the transmitter and the receiving station changes with time. In addition to that there can be unwanted obstructions in between the transmitter and the receiver. Since the primary reason for drop in received signal strength is distance, it is important to select a set of power levels that will deliver the packets within a threshold error rate while saving energy. This adaptive algorithm does not use received signal strength indicator (RSSI) based beacon or probe packet for channel estimation nor listens for any busy channel before actual packet transmission. The hardware used for evaluating the protocol parameters is nRF24L01+ transceiver module from Nordic Semiconductor Inc. This chip is extremely cheap and the application of the adaptive power control protocol can reduce the overall deployment cost of sensor network. This algorithm is designed to meet the challenge of responding to an unknown and variable radio channel in an energy-efficient manner. The adaptive protocol uses past transmission experience or memory to decide the power level at which the new packet transmission will start. This lightweight protocol can be applied in mobile robots that collect data in real time from sensors and transmit to the base station.
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