Proceedings of the 7th annual international conference on Mobile computing and networking
Proceedings of the 10th annual international conference on Mobile computing and networking
On the Effectiveness of Movement Prediction to Reduce Energy Consumption in Wireless Communication
IEEE Transactions on Mobile Computing
Proceedings of the 12th annual international conference on Mobile computing and networking
Mobile Networks and Applications
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Quality of communication in wireless systems is heavily dependent on several factors including interference on the radio signal and mobility of the communicating devices. However, it is very difficult to assess the transmitted signal and predict when a bad quality signal is being caused by interference or mobility. This work presents a new method for monitoring and analyzing wireless communications on two types of networks: IEEE 802.11 and Bluetooth. This technique uses a multi-scale control chart approach known as MCEWMA - Moving Centerline Exponential Weighted Moving Average - associated with multi-resolution analysis. The implementation of this control chart allows the description of the transmitted signal on each wireless channel with low cost and, more important, it can be used on on-line applications. To prove the efficiency of this method, a simple application was developed and tested and the results proved the efficiency of the proposed method.