Abstract
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.
Highlights
IntroductionWireless Sensor Networks (WSNs) can be defined as a group of tiny wireless self-programmable devices, adaptable, which randomly connect to each other without needing any centralized authority, dynamically sending the data to the intended recipient about the monitored phenomenon [1,2,3]
Wireless Sensor Networks (WSNs) can be defined as a group of tiny wireless self-programmable devices, adaptable, which randomly connect to each other without needing any centralized authority, dynamically sending the data to the intended recipient about the monitored phenomenon [1,2,3].The development in sensor networks and the importance of smart devices in the physical world has brought attention to Wireless Sensor and Actor Networks (WSANs)
By analyzing the experimental results and simulation results, we observed that the curves follow a similar trend with some deviations
Summary
Wireless Sensor Networks (WSNs) can be defined as a group of tiny wireless self-programmable devices, adaptable, which randomly connect to each other without needing any centralized authority, dynamically sending the data to the intended recipient about the monitored phenomenon [1,2,3]. The development in 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 a few other smart devices, such as different types of robots. WSANs have greatly enhanced the existing wireless sensor networks (WSNs) by its heterogeneous node structure. WSANs monitor their surroundings, process the gathered data, make a proper decision based on these data and complete different tasks when needed.
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