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In wireless sensor network nodes position estimation in space is known as localization. Node localization in wireless sensor network is important for many applications and to find the position with Received Signal Strength Indicator requires a number of anchor nodes. However the estimation of distance from signal strength decay in not very accurate especially in time varying environmental conditions and the estimation of exact direction required highly directive antenna but, may still affected by multipath fading. A Genetic Algorithm for wireless sensor network localization is proposed in this paper to solve the issue that the positioning accuracy is low with minimum anchor nodes. Hence in this paper we are presenting a Genetic algorithm for optimization approach which tries to find the optimal location by satisfying both the criteria with minimal error. The simulation results also shows effectively outperform both the techniques.
- This paper presents the concept of using a polyethene film to address the shortcomings of the conventional solar pond which are low efficiency, short operation time among others. The thermal behavior of a solar pond with a polyethene has been analyzed and compared with that without a polyethene film. The experiments show that: the heat storage layer (LCZ) temperature rising rate was significantly higher than that of single layer porous media solar pond. The polyethene film of thickness 100µm was used. The polyethene film brings about the greenhouse effect where the solar energy that penetrates the film is trapped and improves the efficiency of the storage zone. Results show that the efficiency of a polyethene stabilized pond rises to about 69 % compared to the conventional solar pond with about 52 %.