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In a sparse WSN, special mobile data collectors (MDCs) are used to gather data from ordinary sensor nodes.
Although mobile data gathering provides a reasonable approach to solving this problem, it inevitably introduces longer data collection latency due to the use of mobile data collectors.
In this paper we develop effective, scalable, and realistic data collection and upload solutions using mobile data collectors in community IoT systems.
In a parallel research effort, [14] studied the problem of placing multiple mobile data collectors in both delay-tolerant and delay-constrained underwater acoustic sensor networks.
In this paper, a strategy is presented for restoring multi-objective optimization connectivity of these segments using mobile data collectors (MDCs), by considering the segments as collections of sensor nodes and not as some representative node.
We propose the use of mobile data collectors (MDCs) to restore network connectivity, which have the function of data acquisition and are mobile, providing more computing, communications, and storage capacity than general sensor nodes.
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In this paper we have investigated the design of a multi-tier architecture for sensor networks that includes higher-powered relay nodes, and a mobile data collector (MDC).
The point acts as a stopping point for the mobile data collector.
The data is uploaded to the mobile data collector via a single hop and then transmitted to the BS.
In [18], the authors proposed mobile data collection based on clustering and long-range wireless link (i.e. WiMax) between the mobile data collector and the gateway.
However, this scheme assumes that the network is fully connected and the mobile sink (i.e. mobile data collector) is the final destination of the data.
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