The book "The Fundamentals and Empirical Design of a Smart Fire Detection System"

The book entitled "The Fundamentals and Empirical Design of a Smart Fire Detection System" was published by Cambridge Scholars Publishing in November 2020. This book introduces a smart fire detection system designed using a wireless sensor network and fuzzy methods. This system predicts, controls, and provides alerts to various events based on intelligent techniques. Routing protocols are performed based on intelligent procedures in which they are classified into two main groups: static and dynamic. Static protocols are used to transmit data packets between stationary nodes, while dynamic protocols are applied to transmit messages between rescue teams and fire departments. The active and passive states are specified for sensor nodes to balance the remaining energy of the nodes and prolong the network lifetime. The probability of explosion, fire, burn, and suffocation is determined based on fuzzy procedures. People affected can be guided to the exit at event places based on an intelligent method. In addition, members and dispatch routes of rescue and support teams are selected using intelligent methods to reduce financial losses and human casualties. The book will be useful for professors, researchers, and engineers in computer and electrical engineering.

You can obtain more information about this book via the link.

The paper "Implementation of an Autonomous Intelligent Mobile Robot for Climate Purposes"

The paper entitled "Implementation of an Autonomous Intelligent Mobile Robot for Climate Purposes" was published by International Journal of Ad Hoc and Ubiquitous Computing on June 30, 2019. This paper proposes an autonomous intelligent mobile robot for climate purposes, called ClimateRobo, to notify the weather condition based on environmental data. An ATmega32 microcontroller is used to measure temperature, gas, light intensity, and distance to obstacles using the LM35DZ, MQ-2, photocell, and infrared (IR) sensors. A utility function is proposed to calculate the weather condition according to the temperature and gas data. Afterwards, the weather condition will be monitored on a liquid crystal display (LCD), an appropriate light-emitting diode (LED) will be illuminated, and an audio alarm would be enabled when weather condition is emergency as well as ambient brightness is high. The ambient brightness is calculated by a proposed supervised machine learning using sensed data of the photocell sensor. A fuzzy decision system is proposed to adjust the speed of DC motors based on weather condition and light intensity. The robot can detect and pass stationary obstacles with the six reflective sensors installed in the left, front, and right sides under six detection scenarios. Simulation results show performance of the proposed supervised machine learning, fuzzy decision system, and obstacle detection mechanism under various simulation parameters. The robot, initially, is simulated in the Proteus simulator and, then, is implemented by electronic circuits and mechanical devices.

You can find more information about this paper via the link.

The paper "An Intelligent and Knowledge-based Overlapping Clustering Protocol for Wireless Sensor Networks"

The paper "An Intelligent and Knowledge-based Overlapping Clustering Protocol for Wireless Sensor Networks" was published by Wiley Online Library in International Journal of Communication Systems on July 10, 2018. It proposes an intelligent and knowledge‐based overlapping clustering protocol for wireless sensor networks, called IKOCP. This protocol uses some of the intelligent and knowledge‐based systems to construct a robust overlapping strategy for sensor networks. The overall network is partitioned to several regions by a proposed multicriteria decision‐making controller to monitor both small‐scale and large‐scale areas. Each region is managed by a sink, where the whole network is managed by a base station. The sensor nodes are categorized by various clusters using the low‐energy adaptive clustering hierarchy (LEACH)‐improved protocol in a way that the value of p is defined by a proposed support vector machine–based mechanism. A proposed fuzzy system determines that noncluster heads associate with several clusters in order to manage overlapping conditions over the network. Cluster heads are changed into clusters in a period by a suggested utility function. Since network lifetime should be prolonged and network traffic should be alleviated, a data aggregation mechanism is proposed to transmit only crucial data packets from cluster heads to sinks. Cluster heads apply a weighted criteria matrix to perform an inner‐cluster routing for transmitting data packets to sinks. Simulation results demonstrate that the proposed protocol surpasses the existing methods in terms of the number of alive nodes, network lifetime, average time to recover, dead time of first node, and dead time of last node.

You can find more information about this paper via the link.

The paper "Sensory Life in Sensory World"

The paper "Sensory Life in Sensory World" was published by i-manager Publications in i-manager's Journal on Wireless Communication Networks on July 2017. It describes various physical features and key usages of the popular sensors. Furthermore, three major applications of wireless sensor networks in monitoring, healthcare, and military are mentioned in the paper. Since sensor localization and data mining are two important topics in sensor networks, their categories and characteristics are addressed too. Besides, some of the existing simulators are compared to each other.

You can read information of this paper via the link.