A survey of agent technologies for wireless sensor networks

Dağdeviren, Orhan; Korkmaz, Ilker; Tekbacak, Fatih; Erciyes, K.

doi:10.4103/0256-4602.72509

Cited by 22 publications

(10 citation statements)

References 28 publications

(46 reference statements)

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“…Such an architecture allows the sensor data to influence the specification of the agent-based model, while the output from the simulation influences the sensor measurement strategies and network configuration. Moreover, agent-based specification of sensor nodes allows for optimisation of the network resources and promotes energy efficiency within the WSN [85]. The bidirectional feedback between wireless sensor networks and the software agents is mutually beneficial both for the efficiency of sensor data collection and for the accuracy of the simulation models.…”

Section: Dynamic Data-driven Simulation Modelsmentioning

confidence: 99%

Sensor-Driven, Spatially Explicit Agent-Based Models

Oloo¹

2019

Swarm Intelligence - Recent Advances, New Perspectives and Applications

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Conventionally, agent-based models (ABMs) are specified from well-established theory about the systems under investigation. For such models, data is only introduced to ensure the validity of the specified models. In cases where the underlying mechanisms of the system of interest are unknown, rich datasets about the system can reveal patterns and processes of the systems. Sensors have become ubiquitous allowing researchers to capture precise characteristics of entities in both time and space. The combination of data from in situ sensors to geospatial outputs provides a rich resource for characterising geospatial environments and entities on earth. More importantly, the sensor data can capture behaviours and interactions of entities allowing us to visualise emerging patterns from the interactions. However, there is a paucity of standardised methods for the integration of dynamic sensor data streams into ABMs. Further, only few models have attempted to incorporate spatial and temporal data dynamically from sensors for model specification, calibration and validation. This chapter documents the state of the art of methods for bridging the gap between sensor data observations and specification of accurate spatially explicit agent-based models. In addition, this work proposes a conceptual framework for dynamic validation of sensor-driven spatial ABMs to address the risk of model overfitting.

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Section: Dynamic Data-driven Simulation Modelsmentioning

confidence: 99%

Sensor-Driven, Spatially Explicit Agent-Based Models

Oloo¹

2019

Swarm Intelligence - Recent Advances, New Perspectives and Applications

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“…An agent is a software framework that is arranged in some condition, and that has an ability of performing self-sufficiently in this condition to meet its plan destinations. Operators self-rulingly sense the earth and react appropriately [2]. In late time, MAS are utilized in different territories, for example, reproduction, artificial intelligence and robotic, picture handling and so forth and are incorporated into the WSNs, on account of their significance to the field.…”

Section: Agent-based Fault Tolerant In Wsnsmentioning

confidence: 99%

“…They are also small devices which enable the measurements of physical and environmental conditions [1]. WSNs are very useful in many areas such as patient monitoring in hospital, battle field surveillance and other areas where wireless nodes may operate in highly dynamic environments [2]. WSNs are also self-sorted out systems that comprise of considerable amount of distributed sensor devices that are disperse over a wide environment to monitor physical phenomena, including temperature, humidity, vibrations, etc [3].…”

Section: Introductionmentioning

confidence: 99%

A Survey of Different Techniques for Energy-Efficient, Reliability and Fault Tolerant in Wireless Sensor Networks

Raji

Gbolagade

2019

WCMC

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Wireless Sensor Network (WSN) consists numerous sensor hubs which containing a preparing unit, at least one sensor, a radio for information correspondence and power unit generally outfitted with a low limit energy distributed over a geographic area for monitoring our environment and physical conditions. It has been established that vitality is the most obliging element on the functionality of such systems as they are controlled with constrained vitality and replacement of vitality resources might be difficult. While sending the data in sensor network, there might be loss of information or miscalculation could occur in receiving data during transferring. The correctness of information has incredible impact on the performance of the network. To enhance the exactness of sensor information, minimizing vitality utilization and adaptation to internal failure is vital for some WSN's applications as they operate in unpredictable conditions and ought to stay operational regardless of whether a network failure happen. This paper surveys the available energy efficient, reliability and fault tolerant in WSNs. It focuses on Residue Number System (RNS) and Agent technologies for energy-efficient and fault tolerant in WSNs respectively. However, performance evaluation was also conducted based on the energy consumption, reliability, delay in receiving the sent data and efficiency.

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“…In particular, the employment of mobile devices in such networks has strengthened the arguments for the efficacy of mobile software agents in dynamic architectures [36]. This type of agents are autonomous and able to adapt to the environment.…”

Section: Sensor Network Architecturesmentioning

confidence: 99%

Architecting the IoT Paradigm: A Middleware for Autonomous Distributed Sensor Networks

Eleftherakis¹,

Pappas

Λάγκας³

et al. 2015

International Journal of Distributed Sensor Networks

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Actualizing Internet of Things undoubtedly constitutes a major challenge of modern computing and is a promising next step in realizing the unification of all seamlessly interacting entities, either human users or participating machines, under a shared, coherent architecture. While it has now become common belief that the related solutions should be based on compatible network infrastructure employing widely accepted communication schemes, the specifics of the intermediate system that would act as global interface for all involved "things" are yet to be determined. A rising trend to define such machine-based entities is through cyberphysical systems, in terms of collaborating elements with physical input and output. Certainly, sensor networks constitute the most representative realization of such systems. Taking these issues and opportunities under consideration, this work proposes a bioinspired distributed architecture for an Internet of Things that exhibits self-organization properties to enable efficient interaction between entities modeled as cyber-physical systems, mainly focusing on sensor networks. Furthermore, a middleware has been implemented according to the proposed architecture, which serves the role of the backbone of this network as a multiagent and autonomous distributed system. The evaluation results demonstrate the self-optimization properties of the introduced scheme and indicate global network convergence.

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A survey of agent technologies for wireless sensor networks

Cited by 22 publications

References 28 publications

Sensor-Driven, Spatially Explicit Agent-Based Models

Sensor-Driven, Spatially Explicit Agent-Based Models

A Survey of Different Techniques for Energy-Efficient, Reliability and Fault Tolerant in Wireless Sensor Networks

Architecting the IoT Paradigm: A Middleware for Autonomous Distributed Sensor Networks

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