Data Gathering Considering Geographical Distribution of Data Values in Dense Mobile Wireless Sensor Networks

In dense mobile sensor networks, to reduce traffic for gathering sensor data, it is desirable to efficiently gather sensor data from the minimum number of mobile sensor nodes necessary to guarantee the sensing granularity, which the application requires. For this aim, in our previous work, we have proposed a data gathering method using mobile agents (DGUMA). However, DGUMA does not consider geographical distribution of data values, and all agents have to send their own readings to the sink. Thus, multiple readings with the same value are sent to the sink. In this paper, we extend DGUMA in order to further reduce the traffic considering geographical distribution of data values. In the extended method, mobile agents aggregate multiple readings with the same value into one reading and forward the aggregated data to reduce the traffic. Moreover, our extended method dynamically controls communication routes from each agent to the sink so that the agents can effectively aggregate the readings. We confirmed the effectiveness of our proposed method through some simulation experiments.