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@article{143703,
        author = {Rupali Dewda and Vijay Barfa and Megha Gupta},
        title = {Adaptive Partial Update Algorithm over Wireless Sensor Networks},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {1},
        pages = {284-290},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143703},
        abstract = {Adaptive partial update algorithm is developed based on incremental method. The proposed algorithm apply in real time changing environment. The proposed algorithm responds to linear estimation with nodes in co – operative manner and less number of computation. The algorithm has powerful advantages is that it require less number of coefficient and reduced computational and communication complexity in wireless sensor network. It is efficient because it have power of solving distributed estimation and optimization by learning mechanism. In wireless sensor networks there are various application that involve phenomenon in which space parameter are varying like surveillance, environment monitoring, battle field, precision agriculture and medical application. In this paper three algorithm sequential partial update, stochastic partial update and max – partial update are compared in terms of mean square error (MSE). Performance characteristic and complexity analysis of each algorithm are compared with MATLAB simulation.},
        keywords = {Incremental Networks, Max – partial update, sequential partial update, stochastic partial update, Mean square error.},
        month = {},
        }