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A community-based event delivery protocol in publish/subscribe systems for delay tolerant sensor networks
Nianbo Liu1, Ming Liu, Jinqi Zhu
1Department of Computer Science and Engineering, University of Electronic Science and Technology of China, Cheng du 610054, China; E-Mails: liunb@uestc.edu.cn (N.L.); jingpei719@163.com (J.Z.).
We introduce CED, a community-based protocol for event delivery in Delay Tolerant Sensor Networks (DTSNs). CED improves data delivery ratios by leveraging network communities for asynchronous publish/subscribe event dissemination.
Area of Science:
- Computer Science
- Networking
- Distributed Systems
Background:
- Delay Tolerant Sensor Networks (DTSNs) face challenges in pervasive data gathering due to intermittent connectivity.
- The publish/subscribe (Pub/Sub) paradigm facilitates asynchronous event delivery but is difficult to extend to DTSNs.
Purpose of the Study:
- To propose a novel protocol for adapting the Pub/Sub paradigm to Delay Tolerant Sensor Networks.
- To address the challenges of frequent network partitioning in DTSNs for event delivery.
Main Methods:
- Developed CED (Community-based Event Delivery), a protocol utilizing stable network communities for event dissemination.
- Implemented CED with two components: community-based event delivery and intelligent queue management.
- Queue management considers event delivery and survival times to optimize transmission and minimize overhead.
Main Results:
- CED enhances data delivery ratios by delivering events when subscribers enter a community.
- Queue management effectively minimizes transmission overhead by judiciously dropping or delivering events.
- Simulation studies demonstrate the effectiveness of the CED protocol in DTSN environments.
Conclusions:
- CED offers a viable solution for integrating Pub/Sub systems into Delay Tolerant Sensor Networks.
- The community-based approach and optimized queue management improve event delivery efficiency.
- CED addresses a significant gap in current research for Pub/Sub systems in intermittently connected networks.
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