MobiloSignal 对于 Android

MobiloSignal

Eugen Barilyuk EB43

版本 1.0

Find the best spot for calls and mobile internet by seeing signal strength

下载次数 39
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杀毒软件 & 安全扫描结果

扫描日期: Jun 9, 2026 软件版本: 1.0
状态: ✅ 可信赖且安全安装 此应用由 Eugen Barilyuk EB43 使用可信且经验证的数字签名签署,将更新现有 MobiloSignal 安装 证书指纹: 7c253d6c8432e1fa4f0508956fdb64cb8218d403 签发者: C:UK, CN:FDroid, L:ORG, O:fdroid.org, ST:ORG, OU:FDroid 我们如何验证 APK 文件的安全性
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MobiloSignal 网络使用监控 应用 对于 Android 描述

Mobilosignal shows your Android phone’s real-time cellular signal strength in dBm. The value is always visible in the status bar and in a notification, even while you use other apps.

Unlike signal bars, dBm is a precise measurement of radio signal power, allowing you to see actual network conditions instead of a simplified guess.

Practical uses of monitoring signal strength in dBm:

  • 📞 Prevent call drops in weak areas: If signal falls below about -105 dBm, voice calls become unstable even if bars are still visible. Seeing this in advance lets you move a few steps before dialing instead of losing the call mid-conversation.
  • 🎮 Avoid lag spikes during mobile gaming: Online games become unstable below roughly -95 dBm. Monitoring this lets you reposition before starting a match instead of dealing with unpredictable lag or disconnects.
  • 🎥 Stable video uploads and streaming: Upload-heavy tasks such as live streaming or sending large videos require stronger signal, typically better than -90 dBm. dBm lets you confirm the connection is sufficient before starting.
  • 🚗 Predict signal loss on daily routes: While commuting, you will notice exact dBm values where signal consistently drops below usable levels. This allows planning calls or downloads outside those zones instead of discovering the problem every day.
  • 🏠 Choose the exact spot for hotspot usage: When using your phone as a hotspot, performance depends directly on signal strength. Moving from -105 dBm to -85 dBm can multiply speed several times. The app shows exactly where that improvement happens.
  • 🔋 Explain sudden battery drain: If your phone sits at -110 dBm for long periods, it continuously boosts transmission power. This is a measurable cause of fast battery drain, not some mysterious background app.
  • 🏢 Find the one place in a building that works: In offices, basements, or elevators, signal can change from -75 dBm to -115 dBm within a few meters. The app helps you locate the one usable spot instead of guessing or walking randomly.
  • 📡 Verify signal improvement objectively exists: After installing a repeater or moving near a window, you can confirm improvement numerically, for example from -108 dBm to -82 dBm, instead of relying on subjective “feels better.”
  • 📶 Decide when to switch to Wi-Fi: If cellular drops below about -100 dBm while Wi-Fi is available, switching avoids slow speeds and packet loss. The decision becomes data-driven instead of reactive.
  • 🔄 Compare network conditions across time: Observe how signal varies during the day. Consistent drops at specific hours indicate tower congestion or load issues rather than physical coverage problems.
  • Identify false “full bars” situations: Some phones display high bars even at -95 dBm or worse. Seeing the real value prevents trusting misleading UI and explains why performance does not match what the screen suggests.
  • 📶 Detect unstable signal before drops happen: Signal bars on Android are not standardized and are defined by device manufacturers and carrier configuration. As a result, visually “strong” signal may still correspond to borderline radio conditions (around -95 to -105 dBm). dBm reveals radio signal degradation in real time, allowing you to react before calls drop or data stalls.
  • Separate signal problems from network problems: Strong signal (e.g. -70 dBm) with poor internet performance indicates carrier-side congestion. Weak signal (e.g. below -105 dBm) indicates coverage limitations. This distinction prevents incorrect troubleshooting.

Mobilosignal turns your Android phone into a precise signal indicating tool, replacing unreliable signal bars with quantitative data about connectivity and network troubleshooting.

Created by Eugen Barilyuk EB43 https://eb43.github.io

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