An Appropriate Framework and Efficient Algorithm to Network Load Balancing using the Combination of Focused Clustering and Biological Computing

Despite of wireless sensor networks countless benefits; they are faced with some deficiencies and limitations. Since we are able to provide an endless source of energy for wireless sensor networks are, powering them to a small battery is limited. As a result, lower power consumption to improve the life they lead. The sensors have memory limitations, energy and ability calculations are therefore often difficult wireless sensor network design. Consumption and extend the life of the nodes of the network nodes are crucial. There are many ways to conserve energy in wireless sensor networks there. Since biological calculations as a powerful method of optimization and with high velocity, as well as the ability to find the maximum and minimum absolute spectra on a wide spectrum can be converted to an optimal absolute point through parallel random searches of space. Therefore, providing an appropriate framework and an efficient algorithm for balancing network load using a combination of centralized clustering algorithms and biomass calculations that improve the energy consumption of wireless sensors is compulsory. The results of simulation with the Matlab software demonstrates better performance of the proposed protocol in terms of network lifespan Compared to the LEACH protocol, is shown

An Appropriate Framework and Efficient Algorithm to Network Load Balancing using the Combination of Focused Clustering and Biological Computing Keywords:

Appropriate Framework , Efficient Algorithm , Network Load Balancing , Combination of Focused Clustering , and Biological Computing