Tree networks are systematically spread across
multiple networks. This project proposes a framework for
effective self-organization for 5 G heterogeneous networks. All
nodes in this network are classified into two types: network
nodes, and non-network nodes. Network nodes are able to
broadcast packets to neighboring nodes. A tree-based network
can then be obtained from one layer to another. The topology is
dynamically balanced to balance energy consumption and extend
the service life of the network. To test the current technique we
perform tests with it. Results from the simulation show our
proposed protocol can easily create a stable tree-based network.
As the network size rising, the time for self-organization, average
hop and error ratio for packets does not change any more. In
comparison, packet success rates in effective self-organization
protocol are significantly higher compared to AODV and DSDV.
Non-network nodes collect the packets being transmitted and
decide whether to access the network. We use various metrics
such as number of child nodes, hop, contact distance and
residual energy to meet the available sink nodes weight during
the self-organizing process, the node with highest weight is
selected as sink node. Non-network nodes will be transformed to
network nodes if they effectively join the network.
Heterogeneous Networks in 5g using Joint Path Selection and Efficient Self-Organization Protocol
