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This is due to the need to only visit selected points, subsequently minimizing the energy consumption of each sensor due to bounded local data aggregation to the SPPs. Figure 1 The data gathering approaches.
It is, thus, obvious that there is an intrinsic trade-off between energy consumption and latency in correlation to the properties of the ME. Figure 1 illustrates the process of prementioned data gathering approaches.
We implemented two concurrent and complementary data gathering approaches.
Table 14 provides information about the types of data gathering approaches enabling the respective functions of the systems.
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First, power consumption increases dramatically when the multi-hop data gathering approach is applied.
The mobile data gathering approach based on sub-polling points (SPPs) is depicted in Figure 1b.
However, remarkable energy is saved when an appropriate data gathering approach is applied.
Second, latency increases when the mobile data gathering approach is applied via a single hop.
Figure 1a illustrates the multi-hop data gathering approach by adopting multi-hop routing.
For energy-constrained Wireless Sensor Networks (WSNs), CS provides an effective data gathering approach.
The previous section described the CTP derivation which is oriented on the SPPs of the mobile data gathering approach.
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