Selection of Actor Nodes in Wireless Sensor and Actor Networks: A Fuzzy-Based System Considering Packet Error Rate as a New Parameter

2017 ◽  
pp. 43-55
Author(s):  
Donald Elmazi ◽  
Miralda Cuka ◽  
Tetsuya Oda ◽  
Elis Kulla ◽  
Makoto Ikeda ◽  
...  
Keyword(s):  
Error Rate ◽  
Wireless Sensor ◽  
Packet Error Rate ◽  
Actor Networks ◽  
Selection Of

Correlation between Spectral Occupancy and Packet Error Rate in IEEE 802.15.4-based Industrial Wireless Sensor Networks

2012 ◽  
Vol 10 (1) ◽  
pp. 1312-1318 ◽  
Author(s):  
Ruan Delgado Gomes ◽  
Marco Aurelio Spohn ◽  
Abel Cavalcante Lima ◽  
Eudisley Gomes dos Anjos ◽  
Francisco Antonio Belo
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Error Rate ◽  
Ieee 802.15.4 ◽  
Wireless Sensor ◽  
Packet Error Rate ◽  
Industrial Wireless Sensor Networks

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

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5573 ◽  
Author(s):  
Donald Elmazi ◽  
Miralda Cuka ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
Leonard Barolli
Keyword(s):  
Fuzzy Logic ◽  
Physical World ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Smart Devices ◽  
Different Types ◽  
Actor Networks ◽  
Prompt Action ◽  
Simulation Systems ◽  
Selection Of

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.

A Secure Energy Aware Game Theory (SEGaT) Mechanism for Coordination in WSANs

2022 ◽  
Vol 13 (2) ◽  
pp. 0-0
Keyword(s):  
Game Theory ◽  
Initial Step ◽  
Packet Delivery Ratio ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Energy Aware ◽  
Packet Delivery ◽  
Actor Networks ◽  
Selection Of

A novel secure energy aware game theory (SEGaT) method has proposed to have better coordination in wireless sensor actor networks. An actor has a cluster of sensor nodes which is required to perform different action based on the need that emerge in the network individually or sometime with coordination from other actors. The method has different stages for the fulfilment of these actions. Based on energy aware actor selection (EAAS), selection of number of actors and their approach is the initial step followed by the selection of best team of sensors with each actor to carry out the action and lastly the selection of reliable node within that team to finally nail the action into place in the network for its smooth working and minimum compromise in the energy The simulations are done in MATLAB and result of the energy and the packet delivery ratio are compared with game theory (GaT) and real time energy constraint (RTEC) method. The proposed protocol performs better in terms of energy consumption, packet delivery ratio as compared to its competitive protocols.

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