Selection of Actor Nodes in Wireless Sensor and Actor Networks Considering Actor-Sensor Coordination Quality Parameter

Elmazi, Donald; Cuka, Miralda; Bylykbashi, Kevin; Spaho, Evjola; Ikeda, Makoto; Barolli, Leonard

doi:10.1007/978-3-319-69811-3_8

Cited by 2 publications

(3 citation statements)

References 30 publications

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“…To provide effective operation of WSAN, is very important that sensors and actors coordinate in what are called sensor‐actor and actor‐actor coordination. Coordination is not only important during task conduction, but also during network's self‐improvement operations, ie, connectivity restoration, reliable service, Quality of Service (QoS), and so on.…”

Section: Introductionmentioning

confidence: 99%

“…To provide effective operation of WSAN, is very important that sensors and actors coordinate in what are called sensor-actor and actor-actor coordination. Coordination is not only important during task conduction, but also during network's self-improvement operations, ie, connectivity restoration, 6,7 reliable service, 8 Quality of Service (QoS), [9][10][11] and so on.Sensor-Actor (SA) coordination defines the way sensors communicate with actors, which actor is accessed by each sensor and which route should data packets follow to reach it. Among other challenges, when designing SA coordination, care must be taken in considering energy minimization because sensors, which have limited energy supplies, are the most active nodes in this process.…”

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confidence: 99%

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Effect of Size of Giant Component for actor node selection in WSANs: A comparison study

Elmazi

Cuka

Ikeda

et al. 2019

Concurrency and Computation

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Summary Wireless Sensor and Actor Network (WSAN) is formed by the collaboration of micro‐sensor and actor nodes. Whenever there is any special event, ie, fire, earthquake, flood or enemy attack in the network, sensor nodes have responsibility to sense it and send information towards an actor node. The actor node is responsible to take prompt decision and react accordingly. In this work, we propose and implement two Fuzzy Based Systems (FBS): FBS1 and FBS2 for actor selection in WSANs. Different from FBS1, in FBS2, we added the Size of Giant Component (SGC) as new parameter. The systems decide whether the actor will be selected for the required job or not, based on data supplied by sensors and actual actor condition. We evaluated the proposed system by computer simulations. Comparing FBS1 with FBS2, we can see that SGC parameter that is used in FBS2 gives to the system a better performance due to the growth of SGC parameter.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Effect of Size of Giant Component for actor node selection in WSANs: A comparison study

Elmazi

Cuka

Ikeda

et al. 2019

Concurrency and Computation

Self Cite

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“…In the above situation, before the actor takes action, it will first check if any other actor is better suited for taking over the task to ensure better resource management in the network. This is called actor-actor interaction, which is not only important during task fulfillment, but also during a network's self-healing situations, that is, connectivity establishment [6,7], reliable services [8], Quality of Service (QoS) [9][10][11] and so on.…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Logic for Selection of Actor Nodes in WSANs —Implementation of Two Fuzzy-Based Systems and a Testbed

Elmazi

Cuka

Ikeda

et al. 2019

Sensors

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The development of sensor networks and the importance of smart devices in the physical world has brought attention to Wireless Sensor and Actor Networks (WSANs). They consist of a large number of static sensors and also a few other smart devices, such as different types of robots. Sensor nodes have responsibility for sensing and sending information towards an actor node any time there is an event that needs immediate intervention such as natural disasters or malicious attacks in the network. The actor node is responsible for processing and taking prompt action accordingly. But in order to select an appropriate actor to do one task, we need to consider different parameters, which make the problem NP-hard. For this reason, we consider Fuzzy Logic and propose two Fuzzy Based Simulation Systems (FBSS). FBSS1 has three input parameters such as Number of Sensors per Actor (NSA), Remaining Energy (RE) and Distance to Event (DE). On the other hand, FBSS2 has one new parameter—Transmission Range (TR)—and for this reason it is more complex. We will explain in detail the differences between these two systems. We also implement a testbed and compare simulation results with experimental results.

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Selection of Actor Nodes in Wireless Sensor and Actor Networks Considering Actor-Sensor Coordination Quality Parameter

Cited by 2 publications

References 30 publications

Effect of Size of Giant Component for actor node selection in WSANs: A comparison study

Effect of Size of Giant Component for actor node selection in WSANs: A comparison study

Application of Fuzzy Logic for Selection of Actor Nodes in WSANs —Implementation of Two Fuzzy-Based Systems and a Testbed

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