Sensor Network Resource Assignment via Mobility Scheduling

The patent segments the sensor network into multiple independent mobile nodes, each capable of autonomous decision-making. Each node independently evaluates event information and determines its own mobility actions based on local conditions, rather than requiring centralized coordination. This segmentation reduces system complexity while maintaining high sampling quality through distributed intelligence.

Mobile sensor nodes autonomously evaluate event information, calculate their own benefit-cost ratios, and independently decide whether to migrate toward events. Each node serves itself by making localized decisions without requiring complex external coordination, thereby improving sampling quality while avoiding the complexity of centralized control systems.

The patent employs dynamic node deployment where mobile sensor nodes can migrate their positions based on real-time event information. Rather than statically deploying a high density of nodes, the system dynamically adjusts node positions to concentrate sampling resources where events occur, achieving high sampling quality with fewer nodes.

The system changes the operational parameters of sensor nodes from static to mobile, enabling them to alter their positions and sampling characteristics based on event detection. This parameter change allows the system to achieve effective coverage with a smaller number of nodes by concentrating them where needed rather than distributing them uniformly throughout the entire field.

The patent transforms static sensor nodes into mobile entities that can dynamically reposition themselves. This dynamic capability enables the network to maintain comprehensive coverage over time by moving nodes toward newly detected events, thereby expanding the effective monitoring area without increasing the total number of nodes.

Mobile sensor nodes continuously monitor their environment and proactively migrate toward potential event locations before events fully develop. This preliminary action ensures the network maintains readiness and coverage in anticipation of events, preventing gaps in monitoring while keeping the system relatively simple.

The patent simplifies the resource allocation decision by changing the evaluation parameter from complex multi-factor optimization to a single benefit-cost ratio metric. Each node independently calculates this ratio based on event information and migration costs, enabling straightforward decision-making that maximizes sampling quality without requiring complex computational overhead.

The patent extracts the essential decision-making factor from complex resource allocation problems, isolating it as the benefit-cost ratio. By separating this key parameter from other complicating factors, the system achieves optimized resource allocation through simple comparative evaluation rather than complex optimization algorithms.