Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 1, 2025International Journal of Engineering Science and Information Technology

Low-Latency Edge Computing for Real-Time Applications in Wireless Sensor Networks

View Full Paper
Ask AI
Bookmark
Share

Authors

AMAwakash MishraARAbhinav RathourDRD. C. Raju

Discussion

Loading...

Member takes

Overview

Analysis reveals improved responsiveness and bandwidth efficiency in wireless sensor networks, suggesting potential for innovative applications.

Key Points

  • Low-latency edge computing processes data at the network's edge, enhancing responsiveness while reducing latency in real-time applications.
  • The approach improves bandwidth efficiency and energy management by reducing transmission times through localized computation methods.
  • Addressing high resource demands, LLEC implements distributed frameworks that overcome scalability and security challenges in wireless sensor networks.
  • Case studies demonstrate the practical benefits of low-latency edge computing, highlighting its significance in future distributed systems.

Cite This Study

Mishra et al. (2025) studied this question.

synapsesocial.com/papers/68dd89e6fe798ba2fc498107https://doi.org/10.52088/ijesty.v5i1.1490
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Edge Computing Architectures for Low-Latency Data Processing in Internet of Things Applications2025
  2. 2Edge2LoRa: Enabling edge computing on long-range wide-area Internet of Things2024 · 5 citations
  3. 3Real-Time Edge Computing Services for Internet of Things-based Cloud Networks2024
  4. 4Edge Computing Architecture for Low-Latency Applications2026
  5. 5Edge Computing Technology: Revolutionizing Daily Existence2024 · 1 citations