Group Migration by Mobile Agents in Wireless Sensor Networks

Suenaga, Shunichiro; Yoshioka, Nobukazu; Honiden, Shinichi

doi:10.1093/comjnl/bxp104

Cited by 6 publications

(5 citation statements)

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“…Other approaches include a modified version of MinMin heuristic [19] for task allocation and agent-based approaches [20], [21]. In [20] a market model for nodes is built, where clients bid for a task based on their resource availability.…”

Section: Comparison With Energy Focused Deploymentmentioning

confidence: 99%

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Autonomic Role and Mission Allocation Framework for Wireless Sensor Networks

Bourdenas

Tei

Honiden

et al. 2011

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems

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Abstract-Pervasive applications incorporate physical components that are exposed to everyday use and a large number of conditions and external factors that can lead to faults and failures. It is also possible that application requirements change during deployment and the network needs to adapt to a new context. Consequently, pervasive systems must be capable to autonomically adapt to changing conditions without involving users becoming a transparent asset in the environment. In this paper, we present an autonomic mechanism for initial task assignment in sensor networks, an NP-hard problem. We also study on-line adaptation of the original deployment which considers real-time metrics for maximising utility and lifetime of applications and smooth service degradation in the face of component failures.

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Section: Comparison With Energy Focused Deploymentmentioning

confidence: 99%

“…Both paper also include the notion of deadlines for execution of tasks. In [21] task migration is motivated from application specifications, e.g. tasks that follow a moving target in the environment.…”

Section: Comparison With Energy Focused Deploymentmentioning

confidence: 99%

Autonomic Role and Mission Allocation Framework for Wireless Sensor Networks

Bourdenas

Tei

Honiden

et al. 2011

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems

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“…In particular, it provides agent migration and agent interaction based both on local shared memory and network messages. In [14] the authors propose an extension of Agilla to support direct communication based on messages. In particular, to establish direct communications, agents are mediated by a middle component (named landmark) that interacts with agents through zone-based registration and discovery protocols.…”

Section: Related Workmentioning

confidence: 99%

“…The above described MASs for WSNs [5,6,13,14] are all implemented for TinyOS-based sensor platforms and use ad hoc languages for agent programming (Agilla uses a micro-programming language, whereas actorNet employs a functional-oriented language). Although some supported operations (e.g.…”

Section: Related Workmentioning

confidence: 99%

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A Java-Based Agent Platform for Programming Wireless Sensor Networks

Aiello

Fortino

Gravina

et al. 2010

The Computer Journal

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Wireless sensor networks (WSNs) are emerging as powerful platforms for distributed embedded computing supporting a variety of high-impact applications. However, programming WSN applications is a complex task that requires suitable paradigms and technologies capable of supporting the specific characteristics of such networks which uniquely integrate distributed sensing, computation and communication. Mobile agents are a distributed computing paradigm based on code mobility that has already demonstrated high effectiveness and efficiency in IP-based highly dynamic distributed environments. Due to their intrinsic characteristics, mobile agents may provide more benefits in the context of WSNs than in conventional distributed environments. In this paper we present the design, implementation and experimentation of MAPS (Mobile Agent Platform for Sun SPOT), an innovative Java-based framework for wireless sensor networks based on Sun SPOT technology which enables agent-oriented programming of WSN applications. The MAPS architecture is based on components that interact through events. Each component offers a minimal set of services to mobile agents that are modeled as multi-plane state machines driven by ECA rules. In particular, the offered services include message transmission, agent creation, agent cloning, agent migration, timer handling and easy access to the sensor node resources (sensors, actuators, input switches, flash memory and battery). Agent programming with MAPS is presented through both a simple example related to mobile agent-based monitoring of a sensor node and a more complex case study for realtime human activity monitoring based on wireless body sensor networks. Moreover, a performance evaluation of MAPS carried out by computing micro-benchmarks, related to agent communication, creation and migration, is illustrated.

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