Distributed Data Collection and Storage Algorithms for Collaborative Learning Vision Sensor Devices with Applications to Pilgrimage
Salah A. Aly

TL;DR
This paper introduces two distributed data storage algorithms for wireless sensor networks to efficiently collect and store data for collaborative learning, with practical deployment in pilgrimage-related monitoring.
Contribution
It proposes novel distributed data storage algorithms (DSA-I and DSA-II) that optimize data dissemination and encoding in resource-constrained sensor networks.
Findings
DSA-I is efficient with known total node count, using flooding with O(n) mixing time.
DSA-II operates without knowing total node count, with encoding complexity O(Cμ^2).
Algorithms perform well in real-world deployment for monitoring in pilgrimage settings.
Abstract
This work presents novel distributed data collection systems and storage algorithms for collaborative learning wireless sensor networks (WSNs). In a large WSN, consider collaborative sensor devices distributed randomly to acquire information and learn about a certain field. Such sensors have less power, small bandwidth, and short memory, and they might disappear from the network after certain time of operations. The goal of this work is to design efficient strategies to learn about the field by collecting sensed data from these sensors with less computational overhead and efficient storage encoding operations. In this data collection system, we propose two distributed data storage algorithms (DSA's) to solve this problem with the means of network flooding and connectivity among sensor devices. In the first algorithm denoted, DSA-I, it's assumed that the total number of nodes…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Mobile Ad Hoc Networks · Distributed Control Multi-Agent Systems
