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In wireless sensor networks where the nodes are equipped with limited energy sources, energy consumption is a crucial parameter of each part of a node activity. This paper deals with node localization based on received signal strength (RSS). The signal power at receiving node is influenced by several stochastic factors. To eliminate so called RSS uncertainty, several measurements of signal strength must be performed to get the value to be used in distance calculation. Multiple packet transmission means bigger energy consumption during distance estimation. This paper presents the analysis of energy consumption during the signal strength measurement with respect to the accuracy of RSS estimation.

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Self-localization capability is for many ad-hoc network deployments an essential feature. Unfortunately, the radio environment introduces a several phenomenons which negatively influence the accuracy of the localization. In this paper we investigate the effect of multipath propagation in outdoor environment on accuracy of localization and propose a method using frequency diversity for RSS measurement in order to mitigate the fading caused by multipath propagation. To that end, a localization algorithm based on least square minimization of measured distance and weighted centroid algorithm are used to verify the frequency diversity concept. The results of simulations and measurements are presented also with the relation to an antenna height.