A many-objective optimization WSN energy balance model

doi:10.3837/tiis.2020.02.003

Cited by 8 publications

(2 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2020, the authors in [51] proposed a many-objective optimization model in WSNs based on LEACH, which was termed as LEACH-ABF. There are four objectives considered in this model, which are cluster distance, the sink node distance, the overall energy consumption of the network, and the network energy consumption balance to select the cluster head.…”

Section: Multihop Data Transmissionmentioning

confidence: 99%

A Survey on Cluster Head Selection and Cluster Formation Methods in Wireless Sensor Networks

Raj

Ahmedy

Idris

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In recent years, wireless sensor networks (WSNs) have been growing rapidly because of their ability to sense data, communicate wirelessly, and compute data efficiently. These networks contain small and low-powered sensor nodes that organize and configure themselves to carry out their functions. Even though WSNs are cheap, easy to deploy, flexible, and efficient, there are some challenges in terms of energy efficiency and network lifetime. Clustering in WSNs is the most reliable solution for the challenges, in which nodes are grouped into few clusters, and a cluster head (CH) is selected for data aggregation and data transfer to the base station (BS). However, there are still many challenges such as energy hole and isolated node problems that exist because of inefficient CH selection and cluster formation methods. In this work, we comprehensively reviewed various nonmetaheuristic and metaheuristic methods for CH selection and cluster formation that are used in networks from various environmental settings, for a better understanding of how the aforementioned problems are tackled by some authors. Moreover, the methods’ parameter settings, advantages, limitations, and future directions are presented with a brief performance summary of the approaches.

show abstract

Section: Multihop Data Transmissionmentioning

confidence: 99%

A Survey on Cluster Head Selection and Cluster Formation Methods in Wireless Sensor Networks

Raj

Ahmedy

Idris

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Frequent device mobility can lead to link disruptions and topology changes, causing routing paths to become unstable and unreliable [5]. Additionally, the limited energy of IoT nodes in edge scenarios necessitates the development of energy-efficient routing mechanisms to prolong the network's lifespan [6]. Moreover, due to the open nature of IoT networks, they are vulnerable to security threats, such as data tampering and unauthorized access, demanding robust security measures at the routing level [7].…”

Section: Introductionmentioning

confidence: 99%

Stability-based On-demand Multi-path Distance Vector Protocol for Edge Internet of Things

2023

KSII TIIS

View full text Add to dashboard Cite

In edge computing scenarios, IoT end devices play a crucial role in relaying and forwarding data to significantly improve IoT network performance. However, traditional routing mechanisms are not applicable to this scenario due to differences in network size and environment. Therefore, it becomes crucial to establish an effective and reliable data transmission path to ensure secure communication between devices. In this paper, we propose a trusted path selection strategy that comprehensively considers multiple attributes, such as link stability and edge cooperation, and selects a stable and secure data transmission path based on the link life cycle, energy level, trust level, and authentication status. In addition, we propose the Stability-based On-demand Multipath Distance Vector (STAOMDV) protocol based on the Ad hoc AOMDV protocol. The STAOMDV protocol implements the collection and updating of link stability attributes during the route discovery and maintenance process. By integrating the STAOMDV protocol with the proposed path selection strategy, a dependable and efficient routing mechanism is established for IoT networks in edge computing scenarios. Simulation results validate that the proposed STAOMDV model achieves a balance in network energy consumption and extends the overall network lifespan.

show abstract

Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks

Bhatti,

Saleem,

Ali

et al. 2024

IEEE Access

View full text Add to dashboard Cite

A many-objective optimization WSN energy balance model

Cited by 8 publications

References 43 publications

A Survey on Cluster Head Selection and Cluster Formation Methods in Wireless Sensor Networks

A Survey on Cluster Head Selection and Cluster Formation Methods in Wireless Sensor Networks

Stability-based On-demand Multi-path Distance Vector Protocol for Edge Internet of Things

Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks

Contact Info

Product

Resources

About