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Figure 4 Optimal segmented beacon cluster.

Figure 5 Beacon cluster routing with multiple mobile gateway.

In Figure 5b, there are four gateways in network; node #0 receives ID notification about beacon cluster #1, beacon cluster #3, beacon cluster #5 and beacon cluster #6 from mobile gateway.

According to the reception sequence of the flooding packet from each beacon cluster, intermediate nodes maintain a routing table with the parameters consisted of beacon cluster number, accumulated hop number and the responding relay node towards the specified beacon cluster.

Once a UE starts to collect WSN information and access the WSN beacon cluster head, it senses the beacon transmission by beacon cluster head in WSN, collects the synchronization information, signal strength as well as local beacon cluster information.

Each cluster with its cluster head is identified by the unique id (namely the beacon cluster id) and each cluster is named as beacon cluster.

Finally, considering the beacon clustering cost and the beacon station cost, the economic beacon placement strategies are identified for applications with different clustering cost and beacon height.

With the optimal network pre-implementation according to the sector splitting scheme, sub-optimization can be achieved in each divided beacon clusters.

We defined Positive CpG Beacon Clusters (PBCs) as regions where CpG beacons outweighed their local human-specific GpC content.

The region-based binomial analysis of GREAT analysis 2.0.1 was utilized to identify genome regional enrichments from the location of the extreme beacon clusters, as well as the moderate positive beacons clusters ≥ 5.

Positive beacon clusters were calculated, via a sliding window of 1 kb and slide of 100 bases across the genome.