Abstract:
This project proposes a vector-based localization system using distance and angle information. Distance-based range-based localization systems determine node positions in wireless sensor networks.
Distance and angle information can improve node position estimation compared to a positioning system with only distance information.
Existing distance and angle studies assume all nodes are directly connected and do not consider a method for measuring angle information between non-directly connected nodes. Real-world wireless sensor networks with many nodes and limited communication range may not follow this assumption.
A vector combination transforms local vectors to network-wide global vectors in the proposed localization algorithm. The algorithm is robust even in a 1-edge network. Simulations show that the proposed algorithm outperforms MDS-MAP(C,R) by 70%.
Keywords: Location Awareness, Wireless Sensor Networks, Costs, Prediction Algorithms, Global Positioning System, Clustering Algorithms, Power Demand, Position Measurement, Sensor Placement, Wireless Sensor Networks
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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