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Wireless sensor networks (WSN) are one of the most evolving technologies applicable in various fields where sensitive information is required. However, the constraints of limited resources and requirements for environmentdependent connectivity and life cycle have urged designers to seek more efficient WSN infrastructures. In this paper, we have discussed and compared the results of various single path protocols i.e. LEACH, PAGASIS and VGA. Performance analysis of energy efficient multipath routing protocols incorporating wireless interference has also been performed.

This paper presents a fuzzy logic based prediction algorithm using nearest neighborhood clustering for the prediction of time series. The proposed algorithm has been developed by using nearest neighborhood clustering scheme and optimal fuzzy system. The presented algorithm is tested by the prediction of Mackey-Glass time series, time series obtained from Logistic Map equation, and an oil refinery data series. To the best of our knowledge, very few studies have attempted to predict Logistic Map. The simulation results show that the proposed algorithm is able to predict linear, nonlinear, and even chaotic time series to a reasonable accuracy. It performs well, even when the mathematical model of time series does not exist.