Agilla

Author:

Fok Chien-Liang1,Roman Gruia-Catalin1,Lu Chenyang1

Affiliation:

1. Washington University in St. Louis, MO

Abstract

This article presents Agilla, a mobile agent middleware designed to support self-adaptive applications in wireless sensor networks. Agilla provides a programming model in which applications consist of evolving communities of agents that share a wireless sensor network. Coordination among the agents and access to physical resources are supported by a tuple space abstraction. Agents can dynamically enter and exit a network and can autonomously clone and migrate themselves in response to environmental changes. Agilla's ability to support self-adaptive applications in wireless sensor networks has been demonstrated in the context of several applications, including fire detection and tracking, monitoring cargo containers, and robot navigation. Agilla, the first mobile agent system to operate in resource-constrained wireless sensor platforms, was implemented on top of TinyOS. Agilla's feasibility and efficiency was demonstrated by experimental evaluation on two physical testbeds consisting of Mica2 and TelosB nodes.

Funder

Office of Naval Research

Division of Computer and Network Systems

Publisher

Association for Computing Machinery (ACM)

Subject

Software,Computer Science (miscellaneous),Control and Systems Engineering

Cited by 117 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness;Future Internet;2024-01-07

2. Development of Build–MaaS Architecture, a Mobility-as-a-Service platform for the Construction Sector;2023 6th International Conference on Information and Computer Technologies (ICICT);2023-03

3. Embedding Autonomous Agents into Low-Power Wireless Sensor Networks;Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection;2023

4. Bio-inspired Adaptive Architecture for Wireless Sensor Networks;Proceedings of the 26th Pan-Hellenic Conference on Informatics;2022-11-25

5. Increasing the Intelligence of Low-Power Sensors with Autonomous Agents;Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems;2022-11-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3