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.
Highlights
Wireless Sensor Networks (WSN) was considered as an effective communication process because it comprises of groups of sensor nodes that monitor the condition of the environment, sound, pressure and temperature continuously [1]
The sensor network incorporated with several characteristics such as ability to withstand in difficult environmental situations, homogeneity of nodes, mobility of nodes, heterogeneity of nodes, power consumption the network must have the effective cross layer designs [3]
Results and Discussion of Experiment. This part evaluates the efficiency of the proposed optimized algorithm-based cluster head selection methodologies for eliminating the high load, high bandwidth utilization, high energy utilization and network lifetime problem
Summary
Wireless Sensor Networks (WSN) was considered as an effective communication process because it comprises of groups of sensor nodes that monitor the condition of the environment, sound, pressure and temperature continuously [1]. The sensor network incorporated with several characteristics such as ability to withstand in difficult environmental situations, homogeneity of nodes, mobility of nodes, heterogeneity of nodes, power consumption the network must have the effective cross layer designs [3]. Even though the network utilizes those characteristics effective manner with different environment, sensor network must handle various issues such as intermediate attacks, low communication speed, distraction by other device and battery or energy consumption at the time of information transmitting from source to destination nodes [5]. [6] Has developed the ant colony-based Meta heuristic protocol of power efficient routing to increase the network-lifetime helps to detect the shortest path from source to destination node. Different researchers analyze routing methodologies for managing the energy issues in WSN. [6] Has developed the ant colony-based Meta heuristic protocol of power efficient routing to increase the network-lifetime helps to detect the shortest path from source to destination node. during the process, ARNet aids to balance the nodes consume of power of the
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