• Shaikh Gauhar Zareen
• Prof. Manisha M. Ambekar

We introduce environment as energy harvesting technologies. energy harvesting can be described as mechanism used to generate energy from network ambient we adaptively select a subset of sensor locations where the SenCar stops to collect data packets in a multi-hop fashion. We present three-hop step method for mobile data collection in energy harvesting sensor network. Firstly we collect the location status of our nodes and SenCar and on the basis of its information we partition the nodes in clusters of different regions. We then develop an adaptive algorithm to search for nodes based on their energy and guarantee data collection tour length is bounded. At last, we focus on designing distributed algorithms to achieve maximum network utility by adjusting data rates, link scheduling, and flow routing that adapts to the spatial-temporal environmental energy fluctuations.Our analysis shows that we achieved our aim of maximum network utility with an optimized framework.

Wireless sensor networks, energy harvesting, K-Means Clustering, adaptive node selection, mobile data gathering, distributed algorithms, Travelling Salesman Problem, Tool Command Language, Aho Weinberger Kernighan.

"OPTIMIZED FRAMEWORK FOR COLLECTION OF DATA MOBILITY IN ENERGY HARVESTING WIRELESS SENSOR NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.91-98, November-2018, Available :http://www.jetir.org/papers/JETIR1811B13.pdf

"OPTIMIZED FRAMEWORK FOR COLLECTION OF DATA MOBILITY IN ENERGY HARVESTING WIRELESS SENSOR NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp91-98, November-2018, Available at : http://www.jetir.org/papers/JETIR1811B13.pdf