Clustering Algorithm in Wireless Sensor Networks Using Transmit Power Control and Soft Computing

Particle Swarm Optimized Power Consumption of Trilateration

“…Also, as shown by the study, using single global output power is less stable in localizing nodes than using multiple levels and using the maximum possible output level is not cost effective solution to the stability of localization, therefore, PSO was found to solve the problem without negatively affect the TBL work in terms of localizability in particular. However, our study can be mapped to real test beds using techniques such as the component based localization, nodes clustering, and RTS/CTS methods, in addition to many others, as suggest by [7,8,17].…”

“…Previous studies took the advantage of such functionalities and tried to optimize the power consumption by varying the output power as in [16], where the output power of nodes were varied based on the distance between the communicated nodes after sharing the information using RTS/CTS (Request to Send / Clear to Send) mechanism. Additionally, in [17] a localization protocol was proposed to optimize the power consumption after clustering nodes based on the used power levels. In most of the simulations and studies done in literature, they tried to change the power level sequentially while observing the effect of using different power levels, or assign power levels to nodes randomly.…”