This invention introduces an energy-efficient method for discovering Wireless Local Area Networks (WLANs) by leveraging assistance from non-WLAN networks, particularly cellular networks. The proposed method intelligently schedules WLAN scans in User Equipment (UE) using information such as network topology, WLAN operating channels, and traffic steering policies shared by the cellular network. By reducing unnecessary channel scans and incorporating position-aware or history-based scanning strategies, the system significantly lowers power consumption and improves discovery time. This hybrid approach enables faster, context-aware WLAN associations without compromising battery life or user experience.
Figure 1. Flowchart for the entire Scanning Procedure
Conventional WLAN discovery methods in mobile devices consume significant power due to periodic full-spectrum scanning. These scans are often unnecessary, especially in dense network environments. Existing methods lack contextual awareness, leading to reduced battery life and delayed network associations. An intelligent, assisted discovery approach is needed to balance performance and energy efficiency.
- Assisted WLAN Discovery via Cellular Network: The invention enables the UE to receive WLAN location and configuration data from cellular networks, guiding efficient scanning operations.
- Selective Channel Scanning: Instead of scanning all channels, the UE scans only a subset based on proximity to known WLANs, received signal strength, or past scan data.
- Position-Aware and Position-Free Scanning: Two scanning modes are supported: one using the UE’s estimated geolocation and another using stored signal strength and movement data when position info is unavailable.
- Monitor Scan Phase: It introduces a timer-based monitor scan stage to catch fluctuations in WLAN signal strength without repeated full scans.
- Traffic Steering Policies Integration: Data offload decisions are optimized based on cellular and WLAN signal thresholds to ensure best connectivity with minimal power use.
- Simulation-Validated Performance: Results from ns-3 network simulations show up to 50% reduction in scanning power consumption while maintaining similar WLAN association performance.
A simulation-based prototype was developed using Network Simulator 3 (ns-3) to emulate real-world user mobility and WLAN deployment across a mapped environment. The prototype tested the proposed scanning algorithms under varying speeds, WLAN densities, and signal conditions. Key performance metrics included scanning power consumption and WLAN association time. Results demonstrated up to 50% reduction in power usage with negligible impact on connectivity performance, validating the effectiveness of the energy-efficient WLAN discovery approach.
The patent has already been granted by the Indian Patent Office. The process is well-defined and technically complete, with detailed system design and functional workflows. It is ready for prototyping and integration.
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This technology promotes sustainable connectivity by drastically reducing battery drain in mobile devices during WLAN discovery. It contributes to improved user experience in dense urban environments and supports smart device longevity. By efficiently utilizing existing cellular infrastructure, the solution aids in optimizing bandwidth usage and offers a scalable path to future energy-conscious wireless communication systems.
- Integrated in smartphones and tablets to optimize battery usage during Wi-Fi search
- Used in smart cities for efficient wireless connectivity in public areas
- Beneficial for wearable devices requiring low-power operations with seamless network handoffs
- Applied in enterprise networks to reduce energy overheads during device onboarding
- Useful in dense environments like airports, malls, and campuses for intelligent Wi-Fi access
- Can be commercialized by mobile OS developers, telecom operators, and network equipment vendors
- Supports IoT ecosystems where battery-powered devices need intelligent scanning and association strategies
Geography of IP
Type of IP
3125/MUM/2014
494280