Packet Header and Payload Compression Using Run-Length Maps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems face challenges in reducing packet transmission time and power consumption, particularly in wireless networks where transmitting and receiving packets is energy-intensive and time-consuming.
Innovation Solution
The implementation of run-length encoding compression maps for packet headers and payloads, allowing for the compression and decompression of packets, which reduces the data fields transmitted and received, thereby optimizing transmission efficiency and power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If packet headers and payloads are transmitted without compression, then transmission accuracy is maintained, but transmission time increases and power consumption increases
Solution Approach 1:
The packet is divided into multiple segments including header portions and payload portions. The compression system selectively compresses specific segments (e.g., header fields or payload fields) while leaving other segments uncompressed, allowing partial compression to reduce transmission time without requiring complete compression of the entire packet
Solution Approach 2:
Different compression techniques or compression levels are applied to different parts of the packet. The system identifies specific fields within headers or payloads that benefit most from compression and applies compression selectively to those local regions, optimizing the balance between transmission efficiency and processing complexity
2Productivity
If compression is applied to all packet fields, then transmission time is reduced, but processing complexity and power consumption increase
Solution Approach 1:
Instead of applying compression to all packet fields, the system applies compression partially to only those fields that contain redundant or compressible data. The compression map identifies specific fields for compression, applying compression action only where beneficial, thus reducing power consumption while maintaining improved transmission rates
Solution Approach 2:
The system dynamically adjusts compression parameters based on the characteristics of the data being transmitted. By analyzing packet content and changing compression parameters selectively for different fields or packets, the system optimizes the balance between transmission speed and energy expenditure
3Quantity of substance
If selective field compression is implemented, then bandwidth usage is reduced, but system complexity increases
Solution Approach 1:
The compression map is pre-configured or pre-negotiated between communicating devices, identifying which fields are compressible before actual data transmission begins. This preliminary setup reduces the complexity during runtime by having compression decisions already determined, while still achieving reduced data volume through selective field compression
Data Source
AI summary
Methods, devices, and computer program products for compressing packet headers and payloads are described herein. In one embodiment, a packet including a packet header and a packet payload is compressed in accordance with a compression map, and the compressed packet is transmitted. The compression map includes a run-length encoded data set identifying at least one data field of the packet header and the packet payload to compress. In another embodiment, a packet including a packet header and a packet payload is received and decompressed in accordance with a decompression map. The decompression map includes a run-length encoded data set identifying at least one data field of the packet header and the packet payload to decompress.