A Clustering Framework based Multiple Partitioning Data Gathering Scheme for WSAN
نویسندگان
چکیده
The approach of using mobile sink, has been adopted in wireless sensor networks ( WSN) and wireless sensor and actor network( WSAN) to achieve higher efficiency in terms of gathering data from sensors. Mobility-assisted data collection brings in new opportunities to improve the energy efficiency sensor nodes. However, mobile sink also introduces new challenges such as large data collection tency. A lot of research efforts have been devoted to reduce this latency. Cooperated with a novel partition algorithm, a concise and a clustering framework based multiple partitioning data gathering scheme is proposed here. A given area can e divided into several zones with balanced data gathering latency. By modeling the partitioning problem as a Traveling Salesman Problem (TSP), an algorithm is designed to balance the data gathering latency among all the zones. Then mobile sinks are assigned to these zones separately. The data could be gathered by these mobile sinks parallel thereupon. Extensive simulations are carried out evaluate our proposed data gathering scheme. Different distribution patterns are considered. Fictiveness of our proposed data gathering scheme is demonstrated through the simulation results.
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