Multi-Agent Support in a Middleware for Mission-Driven Heterogeneous Sensor Networks

Freitas, Edison Pignaton de; Heimfarth, Tales; Pereira, Carlos Eduardo; Ferreira, Armando Morado; Wagner, Flávio Rech; Larsson, Tony

doi:10.1093/comjnl/bxp105

Cited by 6 publications

(10 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Motivated by the above fact, this work complements the previous achievements with agent-oriented approaches, especially those reported in [5], covering the mentioned gap in handling extreme borderline situations, by an enhancement of the original technique. This enhancement uses the mobile agents to disseminate information about sensor nodes that are more capable of performing the missions according to their placement.…”

Section: Introductionmentioning

confidence: 71%

“…This phase consists of basically two main steps: 1) the dissemination of the user needs; and 2) the work distribution among the sensor nodes. Considering the abstraction that is used in the proposed approach, described in detail in [5], the user needs are translated in terms of a mission that the network has to accomplish. So, from now on, this term will be used in the text to describe what the user wants from the network.…”

Section: A the General Problem: Wsn Setupmentioning

confidence: 99%

“…An agent-based solution for the above described problem was presented in [5]. In summary, the specified sensing missions are sent to network via mobile software agents, which move or migrate from node to node until the whole network is informed about the mission.…”

Section: B Original Proposed Solutionmentioning

confidence: 99%

“…This enhancement uses the mobile agents to disseminate information about sensor nodes that are more capable of performing the missions according to their placement. This enhancement mimics the system of air flows and winds with different temperatures in the atmosphere, providing the robustness that was missing in the original proposal presented in [5].…”

Section: Introductionmentioning

confidence: 95%

“…Indeed, earlier studies have demonstrated how valuable this alternative is, as presented in [4]. In [5] an innovative agent-based approach was proposed, which explored a probabilistic reasoning mechanism to drive the agents' decisions in each node, so that the emerging behavior from the network was able to address the needs of the submitted sensing missions. The results presented in the same paper provided evidences of the efficiency of the proposed idea.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Enhanced Wireless Sensor Network setup strategy supported by intelligent software agents

et al. 2010

View full text Add to dashboard Cite

A well know problem in the Wireless Sensor Network (WSN) research area is the usage of appropriate strategies to setup the sensor nodes such that they may accomplish sensing missions. This problem refers to the selection of appropriate nodes to perform the different tasks required to the missions' accomplishment and may be thus characterized as an instance of the task and resource allocation problem. Traditional approaches consider pre-planned strategies, which are not flexible to deal with changes in the network and environment operating conditions. This paper presents an enhanced agent-oriented strategy, which consists of a usage of mobile intelligent agents to disseminate missions and nodes' information over the network, as well as stationary software agents installed in the sensor nodes to provide advanced reasoning apparatus for decision making purposes. The proposed enhancement complements the original agent-based approach with robustness features required to overcome extreme adverse conditions in which an ordinary WSN presents poor results. Results from simulations provide evidences of the efficiency of the complete enhanced approach.

show abstract

Section: Introductionmentioning

confidence: 71%

Section: A the General Problem: Wsn Setupmentioning

confidence: 99%

Section: B Original Proposed Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations