Abstract

Sensor nodes have various energy and computational constraints because of their inexpensive nature and ad hoc method of deployment. Energy saving is one of the fundamental for system design in wireless sensor networks due to limited on-board resources of sensor nodes. In this paper proposes an extensive amount of solutions have been developed to conserve energy in order to extend the lifetime of sensor networks. As regeneration to existing localization techniques, we developed an energy efficient localization method which evaluated on various mobility models and localization is performed by learning movement patterns and their parameters such as velocity and acceleration. Here the regenerative technique is used to analyze and optimize the set of localization algorithms.

References

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