Create edge_computing.py

Author: KOSASIH

satellite_node_network/edge_computing.py

@@ -0,0 +1,93 @@
+import logging
+import numpy as np
+
+class EdgeComputing:
+    """
+    Class for managing edge computing functionalities for satellite nodes.
+
+    Attributes:
+        node_id (str): Unique identifier for the satellite node.
+    """
+
+    def __init__(self, node_id):
+        """
+        Initializes an EdgeComputing instance.
+
+        Args:
+            node_id (str): Unique identifier for the satellite node.
+        """
+        self.node_id = node_id
+        logging.info(f"EdgeComputing initialized for Node {self.node_id}.")
+
+    def process_data(self, raw_data):
+        """
+        Processes raw data received from sensors or other nodes.
+
+        Args:
+            raw_data (dict): The raw data to be processed.
+
+        Returns:
+            dict: The processed data.
+        """
+        logging.info(f"Node {self.node_id} received raw data: {raw_data}")
+        
+        # Example processing: Normalize numerical data
+        processed_data = {}
+        for key, value in raw_data.items():
+            if isinstance(value, (int, float)):
+                processed_data[key] = self.normalize(value)
+            else:
+                processed_data[key] = value  # Keep non-numeric data unchanged
+        
+        logging.info(f"Node {self.node_id} processed data: {processed_data}")
+        return processed_data
+
+    def normalize(self, value):
+        """
+        Normalizes a numerical value to a range of 0 to 1.
+
+        Args:
+            value (float): The value to normalize.
+
+        Returns:
+            float: The normalized value.
+        """
+        # Example normalization logic (this could be adjusted based on actual data ranges)
+        normalized_value = (value - 0) / (100 - 0)  # Assuming the range is 0 to 100
+        return max(0, min(1, normalized_value))  # Clamp to [0, 1]
+
+    def store_data(self, processed_data):
+        """
+        Stores processed data locally.
+
+        Args:
+            processed_data (dict): The processed data to store.
+        """
+        # Here you would implement logic to store data, e.g., in a database or local storage
+        logging.info(f"Node {self.node_id} storing processed data: {processed_data}")
+
+    def communicate_with_node(self, other_node, data):
+        """
+        Communicates processed data to another node.
+
+        Args:
+            other_node (SatelliteNode): The node to communicate with.
+            data (dict): The data to send.
+        """
+        # Simulate sending data to another node
+        logging.info(f"Node {self.node_id} sending data to Node {other_node.node_id}: {data}")
+        # In a real implementation, you would use a network protocol to send the data
+
+# Example usage
+if __name__ == "__main__":
+    logging.basicConfig(level=logging.INFO)
+    edge_computing_node = EdgeComputing(node_id="Node1")
+    
+    raw_data = {
+        'temperature': 75,
+        'humidity': 50,
+        'status': 'active'
+    }
+    
+    processed_data = edge_computing_node.process_data(raw_data)
+    edge_computing_node.store_data(processed_data)