Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Localization of events is a canonical problem for sensor networks, especially for applications such as intrusion detection or neighborhood monitoring.  employ a general sensor model which models various types of sensor nodes. Hover, traditional triangulation method will be unsolvable when the sensor nodes are positioned on a line. To overcome such ill-conditioned cases,  can use MAP or MMSE methods to estimate event locations. Moreover, to locate multiple simultaneous events and overcome the ill-conditioned case when the sensor nodes are collinear,  need to solve a system of nonlinear equations.  propose a novel method which solves this system of nonlinear equations and multiple-event locations can be found. Experiments and error analysis of the method demonstrate the performance of our methods.
['Chih-Chieh Geoff Chang', 'Wesley E. Snyder', 'Cliff Wang']
I am writing a research paper on a idea Robust localization of multiple events in sensor networks
[{"from": "human", "value": "I am writing a research paper on a idea Robust localization of multiple events in sensor networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Localization of events is a canonical problem for sensor networks, especially for applications such as intrusion detection or neighborhood monitoring.  employ a general sensor model which models various types of sensor nodes. Hover, traditional triangulation method will be unsolvable when the sensor nodes are positioned on a line. To overcome such ill-conditioned cases,  can use MAP or MMSE methods to estimate event locations. Moreover, to locate multiple simultaneous events and overcome the ill-conditioned case when the sensor nodes are collinear,  need to solve a system of nonlinear equations.  propose a novel method which solves this system of nonlinear equations and multiple-event locations can be found. Experiments and error analysis of the method demonstrate the performance of our methods."}]