7 citations · 8 across the 4 of their papers we have counts for
4 papers
A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications
Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee +3
Internet of Things (IoT) has seen a prolific rise in recent times and provides the ability to solve several key challenges faced by our societies and environment. Data produced by…
Context Query Simulation for Smart Carparking Scenarios in the Melbourne CDB
Shakthi Weerasinghe, Arkaday Zaslavsky, Alireza Hassani +3
The rapid growth in Internet of Things (IoT) has ushered in the way for better context-awareness enabling more smarter applications. Although for the growth in the number of IoT de…
Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems
Shakthi Weerasinghe, Arkady Zaslavsky, Seng W. Loke +2
Performance metrics-driven context caching has a profound impact on throughput and response time in distributed context management systems for real-time context queries. This paper…
From Traditional Adaptive Data Caching to Adaptive Context Caching: A Survey
Shakthi Weerasinghe, Arkady Zaslavsky, Seng W. Loke +3
Context information is in demand more than ever with the rapid increase in the number of context-aware Internet of Things applications developed worldwide. Research in context and…