Optimization Approach To Optimal Power Efficient Based On Cluster Top Option In Wireless Sensor Networks

Abstract

Wireless sensor network is the significant element in pervasive computing for various distributed applications which divides the resources or data among the peers between the sensor nodes to managing the bandwidth of network, node participants of the network, processing powers of the nodes. During the process of the distribution of the data, the one to one environment of the sensor networks, computation complexity and decentralization is the important issues because it completely reduces the entire system performance. So, this paper implementing the system to distributing the datum among the nodes in one to one environment using the distributed data clustered through the help about the honey-bee optimization with genetic algorithm approach. The analyzes of approach of cluster and relationship of the neighboring managing on the nodes of peer of the sensors in order to assist to decentralization process on the dynamic environment. Further a clustering search space is identified and each node is evaluated with the help of position, velocity, distance values which is examined in terms of using fitness value. Then a performance at a system is analyzed using the results of experimental while discussions such as packet delivery ratio, energy consumption and total number of alive nodes.

Enhancing Artificial Intelligence in Advanced Database Systems for Baghdad's Urban Transportation Management

“…Spatial analysis of this data can help calculate the efficiency of existing services and plan for future services, considering population growth and the capacity of streets to absorb this growth. The integration of spatial and descriptive databases and the preparation of future are crucial for providing all services and preparing the system for integration with other institutions and technologies such as operating room management systems (CAD), AVL/FM systems, accident early warning systems, mobile GIS, and ALI/ANI (location of the caller requesting emergency service) [3,4] .…”