doc: Updates to Asset tracker template docs

README.md

@@ -14,13 +14,17 @@
 
 ## Overview
 
-The Asset Tracker Template is a modular framework for developing IoT applications on nRF91-based devices. Built on [nRF Connect SDK](https://www.nordicsemi.com/Products/Development-software/nRF-Connect-SDK) and [Zephyr RTOS](https://docs.zephyrproject.org/latest/), it provides an event-driven architecture for battery-powered IoT use cases with cloud connectivity, location tracking, and sensor data collection.
+The Asset Tracker Template is a modular framework for developing IoT applications on nRF91-based devices.
+It is built on the [nRF Connect SDK](https://www.nordicsemi.com/Products/Development-software/nRF-Connect-SDK) and [Zephyr RTOS](https://docs.zephyrproject.org/latest/), and provides a modular, event-driven architecture suitable for battery-powered IoT use cases.
+The framework supports features such as cloud connectivity, location tracking, and sensor data collection.
 
-The system uses modules that communicate through [zbus](https://docs.nordicsemi.com/bundle/ncs-latest/page/zephyr/services/zbus/index.html) channels for loose coupling and maintainability. It's suitable for asset tracking, environmental monitoring, and other IoT applications requiring modularity and power efficiency.
+The system is organized into modules, each responsible for a specific functionality, such as managing network connectivity, handling cloud communication, or collecting environmental data.
+Modules communicate through [zbus](https://docs.zephyrproject.org/latest/services/zbus/index.html) channels, ensuring loose coupling and maintainability.
 
 **Supported hardware**: [Thingy:91 X](https://www.nordicsemi.com/Products/Development-hardware/Nordic-Thingy-91-X), [nRF9151 DK](https://www.nordicsemi.com/Products/Development-hardware/nRF9151-DK)
 
-> **Note**: If you're new to nRF91 series and cellular IoT, consider taking the [Nordic Developer Academy Cellular Fundamentals Course](https://academy.nordicsemi.com/courses/cellular-iot-fundamentals).
+> [!NOTE]
+> If you're new to nRF91 series and cellular IoT, consider taking the [Nordic Developer Academy Cellular Fundamentals Course](https://academy.nordicsemi.com/courses/cellular-iot-fundamentals).
 
 ## Quick Start
 
@@ -29,9 +33,9 @@ For detailed setup instructions using the [nRF Connect for VS Code extension](ht
 For pre-built binaries, refer to the latest tag and release artifacts documentaion; [release artifacts](docs/common/release.md).
 
 > [!TIP]
-> Use the [Download nRF Connect for Desktop Quick Start application](https://www.nordicsemi.com/Products/Development-tools/nrf-connect-for-desktop/download#infotabs) for a guided setup and provisioning process.
+> Download and run the [Quick Start app](https://docs.nordicsemi.com/bundle/nrf-connect-quickstart/page/index.html) in the [nRF Connect for Desktop](https://www.nordicsemi.com/Software-and-Tools/Development-Tools/nRF-Connect-for-desktop) for a guided setup and provisioning process.
 >
-> You can also refer to [Exercise 1](https://academy.nordicsemi.com/courses/cellular-iot-fundamentals/lessons/lesson-1-cellular-fundamentals/topic/lesson-1-exercise-1/) in [Nordic Developer Academy Cellular Fundamentals Course](https://academy.nordicsemi.com/courses/cellular-iot-fundamentals).
+> You can also refer to [Exercise 1](https://academy.nordicsemi.com/courses/cellular-iot-fundamentals/lessons/lesson-1-cellular-fundamentals/topic/lesson-1-exercise-1/) in [Nordic Developer Academy Cellular Fundamentals Course](https://academy.nordicsemi.com/courses/cellular-iot-fundamentals) for more details.
 
 ### Prerequisites
 

docs/common/architecture.md

@@ -13,6 +13,7 @@ This document provides an overview of the architecture and explains how the diff
 The Asset Tracker Template is built around a modular architecture where each module is responsible for a specific functionality. The template consists of the following modules:
 
 - **[Main module](../modules/main.md)**: The central coordinator that implements the business logic and controls the overall application flow.
+- **[Storage module](../modules/storage.md)**: Forwards or stores data from enabled modules.
 - **[Network module](../modules/network.md)**: Manages LTE connectivity and tracks network status.
 - **[Cloud module](../modules/cloud.md)**: Handles communication with nRF Cloud using CoAP.
 - **[Location module](../modules/location.md)**: Provides location services using GNSS, Wi-Fi, and cellular positioning.
@@ -224,9 +225,8 @@ In the image, the black dots and arrow indicate initial transitions.
 In this case, the initial state is set to `STATE_RUNNING`. In the state machine definition, initial transitions are configured, such that the state machine ends up in `STATE_DISCONNECTED_SEARCHING` when first initialized.
 From there, transitions follows the arrows according to the messages received and the state machine logic.
 
-!!! important "Important"
-
-    In a hierarchical state machine, the run function of the current state is executed first, and then the run function of the parent state is executed, unless a state transition happens, or the child state marks the message as handled using `smf_state_handled()`.
+> [!IMPORTANT]
+> In a hierarchical state machine, the run function of the current state is executed first, and then the run function of the parent state is executed, unless a state transition happens, or the child state marks the message as handled using `smf_state_handled()`.
 
 ### State machine context
 

docs/common/configuration.md

@@ -53,19 +53,19 @@ curl -X PATCH "https://api.nrfcloud.com/v1/devices/$DEVICE_ID/state" \
 
 *For shadow structure details, see `Asset-Tracker-Template/app/src/cbor/device_shadow.cddl`*
 
-### Configuration Flow
+### Configuration flow
 
-* **Initial Setup**
+* **Initial setup**
 
     - The device starts with default interval from `CONFIG_APP_MODULE_TRIGGER_TIMEOUT_SECONDS`.
     - Upon cloud connection, the device automatically requests shadow configuration.
 
-* **Runtime Configuration**
+* **Runtime configuration**
 
     - Cloud module receives and processes shadow updates.
     - Device maintains last known configuration during offline periods.
 
-* **Impact on Device Behavior**
+* **Impact on device behavior**
 
     The `update_interval` configuration controls the frequency of:
 
@@ -78,17 +78,17 @@ curl -X PATCH "https://api.nrfcloud.com/v1/devices/$DEVICE_ID/state" \
 
 The Asset Tracker supports multiple location methods that can be prioritized based on your needs. Configuration is done through board-specific configuration files.
 
-### Available Location Methods
+### Available location methods
 
 The following are the available location methods:
 
 - GNSS (GPS)
 - Wi-Fi® positioning
 - Cellular positioning
 
-### Configuration Examples
+### Configuration examples
 
-* **Thingy91x Configuration** (Wi-Fi available):
+* **Thingy91x configuration** (Wi-Fi available):
 
     ```
     CONFIG_LOCATION_REQUEST_DEFAULT_METHOD_FIRST_WIFI=y
@@ -97,21 +97,21 @@ The following are the available location methods:
     CONFIG_LOCATION_REQUEST_DEFAULT_WIFI_TIMEOUT=10000
     ```
 
-* **nRF9151 DK Configuration** (Wi-Fi unavailable):
+* **nRF9151 DK configuration** (Wi-Fi unavailable):
 
     ```
     CONFIG_LOCATION_REQUEST_DEFAULT_METHOD_FIRST_GNSS=y
     CONFIG_LOCATION_REQUEST_DEFAULT_METHOD_SECOND_CELLULAR=y
     ```
 
-## Storage Mode Configuration
+## Storage mode configuration
 
 The storage module handles collected data in two modes: **Passthrough** (forward immediately, default) or **Buffer** (store and transmit in batches for lower power consumption).
 See [Storage Module Documentation](../modules/storage.md) for details.
 
 **Basic configuration** in `prj.conf`:
 
-Passthrough mode is the default mode, to enable buffer mode use:
+Passthrough mode is the default mode. To enable buffer mode use:
 
 ```bash
 CONFIG_APP_STORAGE_INITIAL_MODE_BUFFER=y
@@ -124,7 +124,7 @@ CONFIG_APP_STORAGE_MAX_RECORDS_PER_TYPE=8      # Records per data type
 CONFIG_APP_STORAGE_BATCH_BUFFER_SIZE=256       # Batch buffer size
 ```
 
-For minimal use include the `overlay-storage-minimal.conf` overlay
+For minimal use, include the `overlay-storage-minimal.conf` overlay.
 
 **Runtime control** (shell commands when `CONFIG_APP_STORAGE_SHELL=y`):
 
@@ -156,7 +156,7 @@ The Asset Tracker supports both LTE Cat NB1 (NB-IoT) and LTE Cat M1 (LTE-M) cell
     - Mobile applications.
     - Lower latency requirements.
 
-#### Network Mode Selection
+#### Network mode selection
 
 The following network modes are available (`LTE_NETWORK_MODE`):
 
@@ -168,7 +168,7 @@ The following network modes are available (`LTE_NETWORK_MODE`):
 - **LTE-M and NB-IoT**: Both LTE-M and NB-IoT enabled.
 - **LTE-M, NB-IoT and GPS**: Both LTE modes with GPS .
 
-#### Network Mode Preference
+#### Network mode preference
 
 When multiple network modes are enabled (LTE-M and NB-IoT), you can set preferences (`LTE_MODE_PREFERENCE`):
 
@@ -188,11 +188,11 @@ CONFIG_LTE_NETWORK_MODE_LTE_M_NBIOT_GPS=y
 CONFIG_LTE_MODE_PREFERENCE_LTE_M_PLMN_PRIO=y
 ```
 
-### PSM (Power Saving Mode)
+### Power Saving Mode (PSM)
 
 PSM allows the device to enter deep sleep while maintaining network registration. Configuration is done through Kconfig options:
 
-#### PSM Parameters
+#### PSM parameters
 
 * **Periodic TAU (Tracking Area Update)**
 
@@ -223,7 +223,7 @@ The following are the Key aspects:
 - Stays active for the duration specified by RAT.
 
 
-### APN (Access Point Name)
+### Access Point Name (APN)
 
 The Access Point Name (APN) is a network identifier used by the device to connect to the cellular network's packet data network. Configuration options:
 
@@ -243,7 +243,7 @@ Common scenarios for APN configuration:
 > [!NOTE]
 > In most cases, the default APN provided by the carrier should work without additional configuration.
 
-## LED Status Indicators
+## LED status indicators
 
 The Asset Tracker Template uses LED colors to indicate different device states:
 
@@ -252,7 +252,7 @@ The Asset Tracker Template uses LED colors to indicate different device states:
 - **Blue** (Blinking, 10 repetitions): Device is in lower power mode state between samples.
 - **Purple** (Blinking, 10 repetitions): FOTA download in progress.
 
-### Example: Setting LED Colors
+### Example: Setting LED colors
 
 You can control the LED colors through the LED module using zbus messages. The following is an example of how to set different LED patterns:
 

docs/common/customization.md

@@ -33,7 +33,7 @@ To add a new zbus event, complete the following procedure:
     };
     ```
 
-2. Implement publishing of VBUS connected and disconnected events by modifying the existing `event_callback()` function in `power.c`:
+1. Implement publishing of VBUS connected and disconnected events by modifying the existing `event_callback()` function in `power.c`:
     ```c
     if (pins & BIT(NPM13XX_EVENT_VBUS_DETECTED)) {
         LOG_DBG("VBUS detected");
@@ -70,7 +70,7 @@ To add a new zbus event, complete the following procedure:
     }
     ```
 
-3. Make sure the channel is included in the subscriber module (for example, `main.c`). Add the channel to the channel list:
+1. Make sure the channel is included in the subscriber module (for example, `main.c`). Add the channel to the channel list:
 
     ```c
     # define CHANNEL_LIST(X)      \
@@ -84,7 +84,7 @@ To add a new zbus event, complete the following procedure:
     X(POWER_CHAN,  struct power_msg) \
     ```
 
-4. Implement a handler for the new events in the subscriber module (for example, in the main module's state machine in `running_run`):
+1. Implement a handler for the new events in the subscriber module (for example, in the main module's state machine in `running_run`):
 
     ```c
     if (state_object->chan == &POWER_CHAN) {
@@ -136,7 +136,7 @@ To add a new zbus event, complete the following procedure:
     }
     ```
 
-5. Test the implementation by connecting and disconnecting VBUS to verify the LED patterns change as expected.
+1. Test the implementation by connecting and disconnecting VBUS to verify the LED patterns change as expected.
 
 ## Add environmental sensor
 
@@ -171,7 +171,7 @@ Thingy:91 X is used as an example, as it is a supported board in the template wi
     };
     ```
 
-2. Update the environmental module's state structure to include the magnetometer device reference and data storage:
+1. Update the environmental module's state structure to include the magnetometer device reference and data storage:
 
     ```c
     struct environmental_state_object {
@@ -187,7 +187,7 @@ Thingy:91 X is used as an example, as it is a supported board in the template wi
     };
     ```
 
-3. Initialize the device reference using the devicetree label:
+1. Initialize the device reference using the devicetree label:
 
     ```c
     struct environmental_state_object environmental_state = {
@@ -196,7 +196,7 @@ Thingy:91 X is used as an example, as it is a supported board in the template wi
     };
     ```
 
-4. Update the sensor sampling function signature to include the magnetometer device:
+1. Update the sensor sampling function signature to include the magnetometer device:
 
      ```c
      static void sample_sensors(const struct device *const bme680, const struct device *const bmm350)
@@ -208,7 +208,7 @@ Thingy:91 X is used as an example, as it is a supported board in the template wi
      sample_sensors(state_object->bme680, state_object->bmm350);
     ```
 
-5. Implement sensor data acquisition using the Zephyr Sensor API:
+1. Implement sensor data acquisition using the Zephyr Sensor API:
 
     ```c
     err = sensor_sample_fetch(bmm350);
@@ -241,7 +241,7 @@ Thingy:91 X is used as an example, as it is a supported board in the template wi
     };
     ```
 
-6. Update the `environmental_msg` structure in `environmental.h` to include the magnetic field data:
+1. Update the `environmental_msg` structure in `environmental.h` to include the magnetic field data:
 
     ```c
     struct environmental_msg {
@@ -254,9 +254,9 @@ Thingy:91 X is used as an example, as it is a supported board in the template wi
     };
     ```
 
-    The magnetometer data is now part of the environmental message and will be automatically handled by the storage module through the existing `ENVIRONMENTAL` data type. No changes to `storage_data_types.h` or `storage_data_types.c` are needed since the existing `environmental_check()` and `environmental_extract()` functions will handle the entire structure including the magnetic field data.
+    The magnetometer data is now part of the environmental message and will be automatically handled by the storage module through the existing `ENVIRONMENTAL` data type. No changes to `storage_data_types.h` or `storage_data_types.c` are needed since the existing `environmental_check()` and `environmental_extract()` functions will handle the entire structure, including the magnetic field data.
 
-7. Add cloud integration in the `send_storage_data_to_cloud()` function in `cloud.c` to send magnetometer data to nRF Cloud. Add this code after the existing environmental sensor data handling:
+1. Add cloud integration in the `send_storage_data_to_cloud()` function in `cloud.c` to send magnetometer data to nRF Cloud. Add this code after the existing environmental sensor data handling:
 
     ```c
     #if defined(CONFIG_APP_ENVIRONMENTAL)
@@ -316,14 +316,14 @@ To add your own module, complete the following steps:
     mkdir -p app/src/modules/dummy
     ```
 
-2. Create the following files in the module directory:
+1. Create the following files in the module directory:
 
     - `dummy.h` - Module interface definitions.
     - `dummy.c` - Module implementation.
     - `Kconfig.dummy` - Module configuration options.
     - `CMakeLists.txt` - Build system configuration.
 
-3. In `dummy.h`, define the module's interface:
+1. In `dummy.h`, define the module's interface:
 
     ```c
     #ifndef _DUMMY_H_
@@ -363,7 +363,7 @@ To add your own module, complete the following steps:
     #endif /* _DUMMY_H_ */
     ```
 
-4. In `dummy.c`, implement the module's functionality:
+1. In `dummy.c`, implement the module's functionality:
 
     ```c
     #include <zephyr/kernel.h>
@@ -521,7 +521,7 @@ To add your own module, complete the following steps:
                     K_LOWEST_APPLICATION_THREAD_PRIO, 0, 0);
     ```
 
-5. In `Kconfig.dummy`, define module configuration options:
+1. In `Kconfig.dummy`, define module configuration options:
 
     ```kconfig
     menuconfig APP_DUMMY
@@ -557,20 +557,20 @@ To add your own module, complete the following steps:
     endif # APP_DUMMY
     ```
 
-6. In `CMakeLists.txt`, configure the build system to include the source files of the module:
+1. In `CMakeLists.txt`, configure the build system to include the source files of the module:
 
     ```cmake
     target_sources(app PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}/dummy.c)
     target_include_directories(app PRIVATE .)
     ```
 
-7. Add the module to the main application's CMakeLists.txt:
+1. Add the module to the main application's CMakeLists.txt:
 
     ```cmake
     add_subdirectory(src/modules/dummy)
     ```
 
-8. Increase `CONFIG_TASK_WDT_CHANNELS` in the `prj.conf` file to accommadate for the new module's task watchdog integration.
+1. Increase the value of the `CONFIG_TASK_WDT_CHANNELS` Kconfig option in the `prj.conf` file to accommadate for the new module's task watchdog integration.
 
 The dummy module is now ready to use. It provides the following functionality: