new tracking framework by organizing nodes into a polygonal spatial neighborhood in order to detect
and track unauthorized traversals in surveillance wireless sensor networks. During a tracking, the neighborhood is further constructed ahead of the target traversal, and this features a timely forwarding with guaranteed delivery property. Instead of estimating future movement and position separately in a polygon, we ﬁnd an original target tracking path in a graph, and create a brink on the graph called
optimal sensor selection algorithm was developed to select which sensors to query, and dynamically guide the target information to a sink. Simulation results validated that the proposed approach has better tracking accuracy, reduced localization error, and is robust to strong environment noise, while using a minimum number of sensors.
4 freelancers are bidding on average ₹1056/hour for this job
Hello We are highly motivated young technocrats from India. We are approachable, you can come to us if you have a struggle, we are happy to help. Team TiponTongue
We are expert in neural networks we have done design and coding in 1. MATLAB 2. LabVIEW 3 VHDL,Verilog 4. Micro controller coding 5. DSP,DIP [url removed, login to view]