Heterogeneous Networks in 5g using Joint Path Selection and Efficient Self Organization Protocol

Abstract

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.