Abstract The Internet of Things (IoT) has recently attracted substantial interest because its diverse applications. In the agriculture sector, automated methods for detecting plant diseases offer numerous advantages over traditional methods. current study, a new model is developed to categorize within an IoT network. network simulated monitoring crop diseases. Routing performed with Henry Gas Chicken Swarm Optimization (HGCSO), which designed by integrating Solubility (HGSO) and (CSO)....

The well-being of cotton crops is utmost importance for maintaining agricultural productivity, and the early detection diseases plays a critical role in achieving this objective. This study introduces comprehensive approach creating machine learning-based system capable identifying plants through analysis leaf images. research encompasses stages such as acquiring dataset, pre-processing data, training model, developing an ensemble evaluating models, analyzing results. Several...

AbstractAn intuitionistic fuzzy (IF) set is an interesting extension of a (FS) that includes more accurate expression the uncertainty in contrast to conventional FS theory. By considering positive, negative, and hesitancy degree concurrently, IF appears as effective notion deal with included by both judgement identification. In this article, we propose innovative rough (IFRS) framework integrates (RS) concept (alpha, beta)-indiscernibility, which incorporates two thresholds avoid noise....

In the past decade, research community has paid a good attention towards energy-efficient data routing in wireless sensor networks (WSNs). WSNs have left an imprint various areas, but nodes are battery powered having limited lifetime. So, while designing protocols, prime concern is reducing energy consumption and elongating lifetime of network. this review, we done comprehensive review on protocols focusing prolonging network We proposed different classifications to in-depth knowledge about...

World-wide use of wireless sensor networks (WSNs) has urged the need for energy-efficient, distributed routing algorithms. The interest researchers from past decade is in energy-efficient routing. In this paper, sequential quadratic programming (SQP) based multi-path formulation focusing on improving lifetime and delay represented, namely EBDA-DEFL. This SQP solved using optimisation tool after that same particle swarm (PSO). Also, a quota strategy traffic load distribution also introduced...

Persistent sensing requires sensor nodes to keep functioning for a longer duration. Different amounts of incoming packets on some after deployment lead them deplete their energy faster compared other without sending the information about death sink node. It results in formation holes network and hence packet loss problem starts. In this study, is overcome by prior notification scarcity resources setting dynamic threshold also, delivery sustained using fault tolerance strategy. Simulation...

Abstract Due to continuous bombardment from different sources such as social media like Twitter, Facebook, Instagram etc. and day by activities, the size of datasets is gradually increasing. Data enlarging both in number instances features. Processing these using traditional algorithms techniques require more resources exponential time. Moreover, usually consisted various issues class imbalance, availability irrelevant and/or redundant features, noise, problematic types uncertainties that...

Background: Despite so many constraints, the limited battery power of sensor nodes is core issue in Wireless Sensor Networks. This compels how to extend lifetime network as long possible. One ways solve problem balance relay traffic load lifetime. Objective: In this paper, a balancing algorithm suggested that selects best possible node uniform consumption can be ensured. Methods: After random deployment, collect information about their neighbors and expected load. The selection new next hop...

Abstract In spite of the severe limitations on resources sensor nodes such as memory, computational power, transmission range and battery, application areas Wireless Sensor Networks (WSNs) are increasing day by day. The main challenge in WSNs is energy consumption. It becomes significant when a large number deployed. Although clustering one solutions to cater this problem, but it suffers from consumption due non-uniform selection CHs frequent re-clustering. paper, we propose heuristic fuzzy...

World-wide use of wireless sensor networks (WSNs) has urged the need for energy-efficient, distributed routing algorithms. The interest researchers from past decade is in energy-efficient routing. In this paper, sequential quadratic programming (SQP) based multi-path formulation focusing on improving lifetime and delay represented, namely EBDA-DEFL. This SQP solved using optimisation tool after that same particle swarm (PSO). Also, a quota strategy traffic load distribution also introduced...