Neeraj Jaggi - Witchita State University - Wichita State University

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System Observability 8 • Perfect State Information (Completely Observable) ◦ Sensor can always observe state of event process (even while inactive) • Imperfect State Information (Partially Observable) ◦ Inactive sensor can not observe current state of event process Neeraj Jaggi Dept of EECS Wichita State University
Approach/Methodology 9 • Perfect State Information ◦ Formulate Markov Decision Problem (MDP) ◦ Upper Bound on Performance ◦ Optimal Policy • Imperfect State Information ◦ Formulate Partially Observable MDP (POMDP) ◦ Transform POMDP to equivalent MDP (Known techniques) ◦ Structure of Optimal Policy ◦ Near-optimal practical Algorithms Neeraj Jaggi Dept of EECS Wichita State University
Page 1 and 2: Rechargeable Sensor Activation unde
Page 3 and 4: • Sensor Nodes ◦ Tiny, low cost
Page 5 and 6: Dynamic Sleep Scheduling 5 • How
Page 7: Sensor Energy Consumption Model 7
Page 11 and 12: Perfect State Information (contd.)
Page 13 and 14: Optimal Activation Policy • Optim
Page 15 and 16: Structure of Optimal Policy • Opt
Page 17 and 18: EB-CW Policy • Energy balancing C
Page 19 and 20: Summary and Contributions • We co
Page 21: Q & A 21 THANK YOU !! Neeraj Jaggi

Neeraj Jaggi - Witchita State University - Wichita State University

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