Bibliometric Analysis of Firefly Algorithm Applications in the Field of Wireless Sensor Networks

Wireless Sensor Network is a network of wireless sensor nodes that are capable of sensing information from their surroundings and transmit the sensed information to data collection point known as a base station. Applications of wireless sensor networks are large in number and forest fire detection, landslide monitoring, etc. are few applications to note. The research challenges in wireless sensor networks is the transmission of data from the sensor node to the base station in an energy-efficient manner and network life prolongation. Cluster-based routing techniques are extensively adopted to address this research challenge. Researchers have used different metaheuristic and soft computing techniques for designing such energy-efficient routing techniques. In the literature, a lot of survey article on cluster-based routing methods are available, but there is no bibliometric analysis conducted so far. Hence in this research article, bibliometric study with the focus on the firefly algorithm and its applications in wireless sensor network is undertaken. The purpose of this article is to explore the nature of research conducted concerning to authors, the connection between keywords, the importance of journals and scope for further research in soft computing based clustered routing methods. A detailed bibliometric analysis is carried out by collecting the details of published articles from the Scopus database. In this article, the collected data is articulated in terms of yearly document statistics, key affiliations of authors, contributing geographical locations, subject area statistics, author-keyword mapping, and many more essential aspects of bibliometric analysis. The conducted study helped in understanding that there is a vast scope for the research community to perform research work concerning firefly algorithm applications in the field of wireless sensor networks

Bibliometric Analysis of Firefly Algorithm Applications in the Field of Wireless Sensor Networks

Wireless Sensor Network is a network of wireless sensor nodes that are capable of sensing information from their surroundings and transmit the sensed information to data collection point known as a base station. Applications of wireless sensor networks are large in number and forest fire detection, landslide monitoring, etc. are few applications to note. The research challenges in wireless sensor networks is the transmission of data from the sensor node to the base station in an energy-efficient manner and network life prolongation. Cluster-based routing techniques are extensively adopted to address this research challenge. Researchers have used different metaheuristic and soft computing techniques for designing such energy-efficient routing techniques. In the literature, a lot of survey article on cluster-based routing methods are available, but there is no bibliometric analysis conducted so far. Hence in this research article, bibliometric study with the focus on the firefly algorithm and its applications in wireless sensor network is undertaken. The purpose of this article is to explore the nature of research conducted concerning to authors, the connection between keywords, the importance of journals and scope for further research in soft computing based clustered routing methods. A detailed bibliometric analysis is carried out by collecting the details of published articles from the Scopus database. In this article, the collected data is articulated in terms of yearly document statistics, key affiliations of authors, contributing geographical locations, subject area statistics, author-keyword mapping, and many more essential aspects of bibliometric analysis. The conducted study helped in understanding that there is a vast scope for the research community to perform research work concerning firefly algorithm applications in the field of wireless sensor networks

Bibliometric Survey on Reuse of Treated Wastewater for Agriculture

The water is important for life after air but there is water shortage problem worldwide. The untreated wastewater pollutes fresh water resources. The reuse of treated wastewater for crop irrigation will reduce stress on freshwater and also provides nutrients. Wastewater had been reused for many generations, it was first discovered in 1973 and in continuation there onwards till today. The treated-wastewater reuse for irrigation of crops will reduce stress on freshwater and also provides nutrients. The main objective of this bibliometric study is analyze the research work done in the past in relation to wastewater treatment and its reuse. This paper also covers pros and cons of reuse of treated wastewater for agriculture. This survey shows majority of the publications are from Brazil followed by United States of America. The maximum publications related to reuse of treated wastewater are from conference and journals. It is also identified that the count of research articles per year increased dramatically after 2013. Environmental science is the leading subject area, followed by agriculture, engineering, chemical engineering, and medicine. It is to be noted that this research area had maximum funding from European Commission. This art-search shows minimal contribution of review papers. This bibliometric survey will help new researchers to understand summary of the existing work and identify thrust area. Thus, this bibliometric analysis spans over publications according to languages, as per their types, prominent authors, leading countries, publications per year, major funding sponsors, key affiliations, also it shows co-appearance among journals and keywords, authors and keywords, references and keywords etc. In a way it is full platter of information in terms of different research aspects related till date research carried out about treated wastewater reuse