Multisensor Transmission Scheduling for State Estimation Over Multihop Networks in a Cyber-Physical System...

Area of Science:

• Electrical Engineering
• Control Systems
• Network Communication

Background:

• Multisensor transmission scheduling in multihop networks presents complexity due to inter-sensor communication coupling.
• Existing single-sensor scheduling methods are insufficient for multisensor systems.

Purpose of the Study:

• To develop an optimal multisensor transmission scheduling strategy.
• To minimize estimation error covariance and transmission costs for remote terminal units (RTUs).

Main Methods:

• Formulation of the transmission scheduling problem as a Markov decision process (MDP).
• Development of an optimal scheduling strategy with rigorous monotonicity proofs.
• Derivation of necessary and sufficient conditions (NSCs) for system stability.

Main Results:

• The proposed strategy is proven to be monotonic concerning consecutive packet losses for both smart and traditional relays.
• The derived NSCs guarantee system stability under the implemented scheduling.
• Effectiveness validated using the IEEE 118-bus system.

Conclusions:

• The developed multisensor transmission scheduling effectively minimizes estimation error and transmission costs.
• The strategy ensures reliable state estimation and system stability in multihop networks.
• The findings are applicable to power systems and other networked control applications.