Abstract
A wireless sensor network is a network system that uses wireless sensor nodes to monitor physical or environmental conditions as voice, temperature, and spatial dispersive movements. Each node can locally sense its environment, process information and data and send the data to one or more collection points within the WSN. In the existing solution categorized into member nodes and group/cluster heads(CH). The CH election process increases the overhead of the network and reduce the network lifetime. The processing and energy limitations of the nodes are considered for the CH election process. In this cluster formation methods aiming at Cluster head selection process and providing trust in hierarchical WSN are proposed. In this Energy Efficient Aggregation Data Convening Routing (E2ADCR) to estimate the routing path, and aggregate data collection to improve the network lifetime. The major advantage of this technique is to avoid the malicious or selfish node from becoming a dominant cluster in a group of clusters. Initially sink node selection is forward the Configuration Message (CM) to every node on network to construct the performing node. In this, cluster selection based on connection density, degree of the node angle, and residual energy (Quality Factor) that is evaluated from the link robustness, energy and degree of the node. Multi hop link transmission support path optimization technique is estimated in the path when the obstacle is present in the WSN. To introduce an Aggregated Support based Data Collection for evaluate each packet flow monitor on the network if any unrelated packet that will eliminate to forward to sink node. The new routing protocols, which were developed during this research, have better energy efficiency. The proposed routing path of the computational simplicity is achieved by a simple method.
Energy-Efficient Data Collection in UAV Enabled Wireless Sensor Network
