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A. Kavi Priya

Bio: A. Kavi Priya is an academic researcher from Knowledge Institute of Technology. The author has contributed to research in topics: Wireless network & Heuristic (computer science). The author has an hindex of 1, co-authored 1 publications receiving 21 citations.

Papers
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Journal ArticleDOI
TL;DR: A heuristic decision making approach is proposed for producing energy-aware clusters with optimal selection of cluster head to improve the efficiency and accuracy and overcome the drawbacks like getting trapped at a local extreme in the optimization process.
Abstract: Wireless sensor networks idea is envisioned and defined as self-deployed, error prone, long living inexpensive communication devices that are densely deployed to collect data from physical space. Sensor nodes communicate with each other to detect events depending on the application, to collect and process data, and to transmit the sensed information to the base station by hopping the data from node to node. Major challenge in wireless network is energy consumption, since the sensor devices are deployed on unattended wide areas and replacing their batteries is not very feasible. Therefore, designing energy-aware algorithms becomes a major challenge for extending the lifetime of sensors. The lifetime of the network can be maximized by selecting the most optimal cluster head. In this paper, a heuristic decision making approach is proposed for producing energy-aware clusters with optimal selection of cluster head. This helps to improve the efficiency and accuracy and overcome the drawbacks like getting trapped at a local extreme in the optimization process.

23 citations


Cited by
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Journal ArticleDOI
TL;DR: This paper is a study and proposal paper which discusses the factors and studies that lead towards this patent pending invention, AGRIPI.
Abstract: Agriculture plays a significant role in most countries and there is an enoromous need for this industry to become “Smart”. The Industry is now moving towards agricultural modernization by using modern smart technologies to find solutions for effective utilization of scarce resources there by meeting the ever increasing consumtion needs of global population. With the advent of Internet of Things and Digital transformation of rural areas, these technologies can be leveraged to remotely monitor soil moisture, crop growth and take preventive measures to detect crop damages and threats. Utilize artificial intelligence based analytics to quickly analyze operational data combined with 3rd party information, such as weather services, expert advises etc., to provide new insights and improved decision making there by enabling farmers to perform “Smart Agriculture”. Remote management of agricultural activities and their automation using new technologies is the area of focus for this research activity. A solar powered remote management and automation system for agricultural activities through wireless sensors and Internet of Things comprising, a hardware platform based on Raspberry Pi Micro controller configured to connect with a user device and accessed through the internet network. The data collection unit comprises a set of wireless sensors for sensing agricultural activities and collecting data related to agricultural parameters; the base station unit comprising: a data logger; a server; and a software application for processing, collecting, and sending the data to the user device. The user device ex: mobile, tablet etc. can be connected to an internet network, whereby an application platform (mobile-app) installed in the user device facilitates in displaying a list of wireless sensor collected data using Internet of Things and a set of power buttons. This paper is a study and proposal paper which discusses the factors and studies that lead towards this patent pending invention, AGRIPI.

95 citations

Journal ArticleDOI
05 Mar 2020-Sensors
TL;DR: This paper reviews representative SI algorithms and summarizes their applications in the IoT, mainly in the analysis of SI-enabled applications to wireless sensor network (WSN) and discussion of related research problems in the WSN.
Abstract: With the continuing advancements in technologies (such as machine to machine, wireless telecommunications, artificial intelligence, and big data analysis), the Internet of Things (IoT) aims to connect everything for information sharing and intelligent decision-making. Swarm intelligence (SI) provides the possibility of SI behavior through collaboration in individuals that have limited or no intelligence. Its potential parallelism and distribution characteristics can be used to realize global optimization and solve nonlinear complex problems. This paper reviews representative SI algorithms and summarizes their applications in the IoT. The main focus consists in the analysis of SI-enabled applications to wireless sensor network (WSN) and discussion of related research problems in the WSN. Also, we concluded SI-based applications in other IoT fields, such as SI in UAV-aided wireless network. Finally, possible research prospects and future trends are drawn.

60 citations

Journal ArticleDOI
TL;DR: An innovative approach to the method of selecting cluster heads is proposed, which leads to the nominal depletion of the energy of each node present in the array to create a transmission with nearest nodes in the shortest path between the heads of the source cluster.
Abstract: In the clustering method, the cluster head node loses much energy between transmissions to the base station, confirming that determining the cluster heads is crucial. A robust determination protocol needs to pick cluster heads depending on the node's region and its residual energy. We proposed an innovative approach to the method of selecting cluster heads in this work. The target of the cluster head depends on node distance and node energy. The cluster head selection aims to minimise energy utilisation and to enhance the lifetime of the networking by introducing the shortest path relay node concept. When few subcluster nodes are heavily loaded, this results in faster energy consumption, and to achieve normal energy depletion, the selected trajectory cluster is launched. The distances among the clusters decide and play an important part in energy consumption. As a result, the shortest path selection relay approach leads to the nominal depletion of the energy of each node present in the array to create a transmission with nearest nodes in the shortest path between the heads of the source cluster.

32 citations

Journal ArticleDOI
TL;DR: This survey paper explains the development of caching techniques on Named Data Network that are classified into main points and proposed the open challenge related to the caching mechanism to improve NDN performance.
Abstract: The IP-based system cause inefficient content delivery process This inefficiency was attempted to be solved with the Content Distribution Network A replica server is located in a particular location, usually on the edge router that is closest to the user The user’s request will be served from that replica server However, caching on Content Distribution Network is inflexible This system is difficult to support mobility and conditions of dynamic content demand from consumers We need to shift the paradigm to content-centric In Named Data Network, data can be placed on the content store on routersthat are closest to the consumer Caching on Named Data Network must be able to store content dynamically It should be selectively select content that is eligible to be stored or deleted from the content storage based on certain considerations, eg the popularity of content in the local area This survey paper explains the development of caching techniques on Named Data Network that are classified into main points The brief explanation of advantages and disadvantages are presented to make it easy to understand Finally, proposed the open challenge related to the caching mechanism to improve NDN performance

17 citations

Journal ArticleDOI
TL;DR: This proposed protocol can achieve longer sensor lifetime and more energy efficiency, and predict the energy consumption of node, which will conserve the energy using Energy Efficient Fuzzy Based Cross Layer Protocol (EEFCLP).
Abstract: In today’s scenario to solve the real world problem heterogeneous wireless sensor is necessary. It consists of different sensor with different sensing capability and different energy level. Routing is important task in HWSN from energy dissipation point of view. In HWSN many routing protocols were proposed but many protocols are for single hop communication between cluster head and sink. Here we have designed multi-hop routing protocol for HWSN, which will be energy efficient and also solve the problem of hot spot using unequal clustering. To make this protocol more energy efficient cross layer information exchange approach is used. Using cross layer communication this protocol will get residual energy, quality of link and neighboring nodes information and this information is used in cluster head selection. Moreover there is no need to do broadcast of residual energy for every round because of RDA (regular data acquisition) nodes. We can predict the energy consumption of node, which will conserve the energy using Energy Efficient Fuzzy Based Cross Layer Protocol (EEFCLP). This proposed protocol can achieve longer sensor lifetime and more energy efficiency.

8 citations