High energy efficient lifetime management system and trust management framework for manet using self-configurable cluster mechanism

The maximum hard side of Mobile Ad Hoc Network (MANET) is that they are power resource-limited wherein energy cannot be replenished. Our evaluation intention is to give a high power saving management system for MANET. Cluster approaches in MANET make other nodes into small disjoint groups, wherever every cluster node encompasses an organizer known as Cluster Head (CH). The primary difficult task within the methods is retaining created clusters. To decide any node as Cluster Head, it is essential to summarize its constraints and eligibility, supported by the information of the node's properties like its remaining power or energy. There may be a possibility of the Cluster Heads might be unsuccessful and act wrongly due to power instability. During failure, the Cluster Heads are unable to collect the data and transfer information well. This influences the effectiveness of the MANET. We can decrease the information failure by detecting CH's failure earlier, and it needs the lowest improvement efforts. A self-configurable cluster mechanism is proposed. We planned to identify the unstable Cluster Heads, and soon it will be replaced by some other nodes. k-means protocol method has been developed to select Cluster Heads effectively. This protocol (k-means) operates on an interval or periodic irregular rotations of the Cluster Heads, and some of the clusters vary between 0 and 1. If the arbitrary number is smaller than the pre-decided preset (threshold) value, the node becomes a Cluster Heads for the existing round. We have achieved and realized a decrease in power and energy loss in comparison to other protocols like transmission and direct communication protocols. The experimental result suggests that the proposed scheme works appropriately to reduce energy dissipation compared to other protocols like transmission and direct communication protocols.

Automated summary

In Mobile Ad Hoc Networks, cluster approaches divide nodes into small groups to save energy, but Cluster Heads may fail due to energy instability. A self-configurable cluster mechanism is proposed to detect and replace unstable Cluster Heads, reducing energy consumption.