22-02-2011, 03:20 PM
presented by:
Afsal C
Salman C
[attachment=8964]
Information Content-Based Sensor Selection and Transmission Power Adjustment for Collaborative Target Tracking
• EXISTING SYSTEM
Target tracking sensor networks monitor and track the movement of a target object. Energy management in these sensor networks is crucial to prolong the network lifetime. Protocol EST (energy saving schedule for target tracking sensor networks) that provides a dynamic sleep schedule for the radios such that maximum energy is saved without affecting the sensors' activities. When there is no target, the communication modules of sensor nodes are put into sleep using a static schedule, except the border nodes.
• PROPOSED SYSTEM
A mutual-information-based sensor selection (MISS) algorithm is adopted for participation in the fusion process. MISS allows the sensor nodes with the highest mutual information about the target state to transmit data so that the energy consumption is reduced while the desired target position estimation accuracy is met.
MODULES
• DATA PROCESSING ARCHITECTURE
> We define the process model for the target motion.
> The next state of the target is calculated with the knowledge of its current state and the target state transition matrix.
* Process Model
> The process model describes the target motion.
> The process model finds the state of the target at time instant k + 1 given the state of the target at time instant k.
* Observation Model
> Noise is added to the real target state in order to model the sensor observation uncertainties
• MAXIMUM MUTUAL-INFORMATION-BASED SENSOR SELECTION ALGORITHM
Mutual information measures how much uncertainty is removed by one random variable about another one. Bycomputing the mutual information between the target stateand the measurement, one can gain insight as to how much the current observation tells about the current target state.
• INFORMATION-CONTROLLED TRANSMISSION POWER ADJUSTMENT
This ICTP adjustment scheme is the energy-saving strategy, in addition to the MISS algorithm.
Afsal C
Salman C
[attachment=8964]
Information Content-Based Sensor Selection and Transmission Power Adjustment for Collaborative Target Tracking
• EXISTING SYSTEM
Target tracking sensor networks monitor and track the movement of a target object. Energy management in these sensor networks is crucial to prolong the network lifetime. Protocol EST (energy saving schedule for target tracking sensor networks) that provides a dynamic sleep schedule for the radios such that maximum energy is saved without affecting the sensors' activities. When there is no target, the communication modules of sensor nodes are put into sleep using a static schedule, except the border nodes.
• PROPOSED SYSTEM
A mutual-information-based sensor selection (MISS) algorithm is adopted for participation in the fusion process. MISS allows the sensor nodes with the highest mutual information about the target state to transmit data so that the energy consumption is reduced while the desired target position estimation accuracy is met.
MODULES
• DATA PROCESSING ARCHITECTURE
> We define the process model for the target motion.
> The next state of the target is calculated with the knowledge of its current state and the target state transition matrix.
* Process Model
> The process model describes the target motion.
> The process model finds the state of the target at time instant k + 1 given the state of the target at time instant k.
* Observation Model
> Noise is added to the real target state in order to model the sensor observation uncertainties
• MAXIMUM MUTUAL-INFORMATION-BASED SENSOR SELECTION ALGORITHM
Mutual information measures how much uncertainty is removed by one random variable about another one. Bycomputing the mutual information between the target stateand the measurement, one can gain insight as to how much the current observation tells about the current target state.
• INFORMATION-CONTROLLED TRANSMISSION POWER ADJUSTMENT
This ICTP adjustment scheme is the energy-saving strategy, in addition to the MISS algorithm.
