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Performance Comparison of Multi-Agent Middleware Platforms for Wireless Sensor Networks
Education Department, Industrial Technical School, Federal University of Santa Maria, Santa Maria, 97105-900, Brazil.
Halmstad University, School of Information Technology.
Institute of Informatics, Federal University of Rio Grande Do sul, Porto Alegre, 91509-900, Brazil.
Institute of Informatics, Federal University of Rio Grande Do sul, Porto Alegre, 91509-900, Brazil.
2018 (English)In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 18, no 7, p. 3039-3049Article in journal (Refereed) Published
Abstract [en]

Despite the numerous possible applications of wireless sensor networks (WSNs), there is a key disadvantage related to the high complexity in programming WSNs, which is a result of their distributed and built-in features. To overcome this shortcoming, software agents have been identified as a suitable programming paradigm. The agent-based approach commonly uses a middleware for the execution of the software agents. In this regard, the present paper aims at comparing Java-based agent middleware platforms in their performance for the WSN application domain. Experiments were performed to analyze two versions of tracking applications, based on different agent models implemented for a given set of middleware platforms that support programming at a high-level of abstraction. The results highlight the differences in the resource consumption (CPU, memory, and energy) and in the communication overhead, providing an indication of suitability for each type of analyzed middleware, considering specific concerns while developing WSN applications. © 2001-2012 IEEE.

Place, publisher, year, edition, pages
Piscataway, N.J.: Institute of Electrical and Electronics Engineers Inc. , 2018. Vol. 18, no 7, p. 3039-3049
Keywords [en]
Computer systems programming, Distributed computer systems, Energy utilization, Mathematical programming, Middleware, Mobile agents, Multi agent systems, Sensors, Software agents, Agent-based approach, Communication overheads, High level of abstraction, Middleware platforms, Multi-agent platforms, Performance comparison, Programming paradigms, Wireless sensor network (WSNs), Wireless sensor networks
National Category
Computer Systems Computer Sciences
Identifiers
URN: urn:nbn:se:hh:diva-38713DOI: 10.1109/JSEN.2018.2791416ISI: 000427466100050Scopus ID: 2-s2.0-85041181535OAI: oai:DiVA.org:hh-38713DiVA, id: diva2:1276389
Available from: 2019-01-08 Created: 2019-01-08 Last updated: 2019-01-08Bibliographically approved

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Bösch, Bernhard

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