Article
Chemistry, Multidisciplinary
Fatma H. El-Fouly, Mnaouer Kachout, Yasser Alharbi, Jalawi Sulaiman Alshudukhi, Abed Alanazi, Rabie A. Ramadan
Summary: This paper proposes an energy-efficient, real-time, environment-aware, and reliable routing algorithm for multi-sink wireless sensor networks. The algorithm makes routing decisions based on different parameters, including environmental impact metrics, energy balance metrics, desired deadline time, and wireless link quality. An integer linear programming problem is used for optimal solution, and swarm intelligence algorithm is proposed as a heuristic algorithm for large-scale networks. Extensive experiments demonstrate that the proposed algorithm outperforms compared algorithms in terms of packet delivery ratio, deadline miss ratio, average end-to-end delay, network lifetime, and energy imbalance factor.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Xuan Yang, Jiaqi Yan, Desheng Wang, Yonggang Xu, Gang Hua
Summary: This paper proposes a novel two-tier hybrid swarm intelligence-based hierarchical routing protocol (THSI-RP), which achieves adaptive optimal clustering and multi-hop routing by combining Grey Wolf Optimization (GWO) and Marine Predators Algorithm (MPA), thereby improving energy efficiency.
Review
Computer Science, Information Systems
Priyanka Shah, Tanmay Kasbe
Summary: Routing in VANET faces various constraints such as multi-hop paths, node mobility, and device heterogeneity. This paper focuses on key areas like broadcasting, security, QoS, and information dissemination, presenting a detailed review of wireless standards used in VANET. By proposing Swarm-Intelligence based routing protocols and comparing them with well-known ad hoc routing protocols, the study shows significant improvement in the performance of ad hoc networks.
COMPUTER SCIENCE REVIEW
(2021)
Article
Chemistry, Multidisciplinary
Fatma H. Elfouly, Rabie A. Ramadan, Ahmed Y. Khedr, Kusum Yadav, Ahmad Taher Azar, Mohamed A. Abdelhamed
Summary: This study aims to discover the best deployment plan for WSN considering various constraints. By defining the deployment problem as an optimization problem and mathematically formulating it using Integer Linear Programming, the coverage of a given field is maximized with a network lifetime constraint. The use of Swarm Intelligence as a heuristic algorithm for large-scale deployment problem has proven to be efficient, with over 30% improvement in coverage and network lifetime demonstrated in simulation experiments.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Rodolfo W. L. Coutinho, Azzedine Boukerche
Summary: This paper proposes a novel stochastic model for opportunistic routing (OR) in multi-modal UWSNs, and designs two candidate set selection heuristics to reduce energy consumption and improve the network data delivery ratio in multi-modal UWSNs. The proposed heuristics outperform classical related work protocols and the CAPTAIN routing protocol in terms of energy consumption and data delivery ratio.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Chemistry, Analytical
Fatma H. El-Fouly, Ahmed Y. Khedr, Md Haidar Sharif, Eissa Jaber Alreshidi, Kusum Yadav, Huseyin Kusetogullari, Rabie A. Ramadan
Summary: This paper proposes an energy-efficient and reliable clustering protocol (ERCP) for Wireless Sensor Networks (WSNs). The protocol achieves energy savings and reliable message delivery through efficient clustering technique and reliable inter-cluster routing technique.
Article
Engineering, Electrical & Electronic
Dipak Kumar Sah, Abhishek Hazra, Nabajyoti Mazumdar, Tarachand Amgoth
Summary: This study proposes an efficient routing awareness scheduling (ERAS) algorithm to address the energy shortage and network load issues in wireless sensor networks. The algorithm employs a solar harvesting system as a hierarchical clustering-based routing protocol and utilizes synchronization-based scheduling to improve throughput. The ERAS algorithm performs efficiently while considering various performance matrices, including network lifetime, packet delivery ratio, energy consumption, and network sustainability.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
M. S. Maharajan, T. Abirami, Irina Pustokhina, Denis A. Pustokhin, K. Shankar
Summary: Wireless Sensor Networks have gained attention for their wide application in data collection and processing, with Quality of Service being a crucial factor. The QoSCRSI algorithm introduced in this research utilizes Swarm Intelligence for two-level clustering and proficient routing, showing better performance compared to other techniques in terms of energy efficiency, network lifetime, overhead, throughput, and delay.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Computer Science, Information Systems
Bo Zeng, Chaofeng Zhao, Yongxin Zhang, Jie Sun, Xiaofeng Gao
Summary: This study proposes a lightweight and flexible clustering algorithm based on sectors to optimize energy efficiency by dividing the area into virtual sectors and creating even sector clusters using the sector decomposition method.
Review
Computer Science, Information Systems
Qianao Ding, Rongbo Zhu, Hao Liu, Maode Ma
Summary: Machine learning technology has demonstrated unique advantages in various fields, particularly in the context of wireless sensor networks. Traditional green routing algorithms face limitations such as poor flexibility and reliance on accurate mathematical models. By integrating multiple factors and adapting to environmental changes, ML techniques can offer new ideas for intelligent and energy-efficient routing algorithms in WSNs.
Article
Engineering, Electrical & Electronic
Vaibhav Agarwal, Shashikala Tapaswi, Prasenjit Chanak
Summary: This paper proposes a mobile sink-based intelligent data routing scheme for Wireless Sensor Networks (WSNs) to address the real-time data analysis and decision-making. The study utilizes Particle Swarm Optimization for optimal cluster formation and presents a mobile sink-based intelligent data gathering scheme. Extensive simulations and mathematical analysis are conducted to verify the effectiveness of the proposed scheme and compare it with existing algorithms.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yadong Gong, Xiaoyun Guo, Guoming Lai
Summary: In this article, a centralized energy-efficient clustering (CEEC) protocol is proposed to enhance energy efficiency in wireless sensor networks (WSNs) through node energy balancing schemes. The CH-rotation approach is used for intracluster energy balancing, while four sequential algorithms are suggested for intercluster energy balancing. Simulation results demonstrate that the CEEC protocol outperforms classical clustering mechanisms in terms of network lifetime, energy consumption, and network throughput.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Haobo Guo, Runze Wu, Bing Qi, Zifa Liu
Summary: A lifespan-balance-based energy-efficient routing scheme is proposed to optimize energy efficiency and QoS in wireless sensor networks, adjusting the ratio of moving time to recharging time dynamically. The QoS routing based on multi-hop strategy is designed to integrate multiple related factors. Simulation results show that the proposed algorithm can improve energy efficiency and prolong network lifetime effectively.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
J. Krishnadas, P. Manimegalai, G. K. D. Prasanna Venkatesan
Summary: This study analyzes various methods utilizing swarm intelligence for cluster head selection in wireless sensor networks, and examines their effectiveness in detail. The goal of the research is to address the critical issue of network period and identify future challenges and directions.
AD HOC & SENSOR WIRELESS NETWORKS
(2022)
Article
Engineering, Multidisciplinary
Dingde Jiang, Zhihao Wang, Wenjuan Wang, Zhihan Lv, Kim-Kwang Raymond Choo
Summary: This paper proposes an AI-assisted energy-efficient and intelligent routing solution based on energy efficiency prioritization and AI theory, aiming to enhance routing adaptivity and achieve network intelligence and quality of service in reconfigurable wireless networks.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Palvinder Singh Mann, Satvir Singh
Article
Automation & Control Systems
Palvinder Singh Mann, Satvir Singh
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2017)
Article
Computer Science, Artificial Intelligence
Palvinder Singh Mann, Satvir Singh
Article
Computer Science, Artificial Intelligence
Vikram Mutneja, Satvir Singh
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2019)
Article
Engineering, Mechanical
Sankalap Arora, Satvir Singh, Kaan Yetilmezsoy
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2018)
Article
Optics
Vikram Mutneja, Satvir Singh
Article
Computer Science, Artificial Intelligence
Sankalap Arora, Satvir Singh
Article
Telecommunications
Palvinder Singh Mann, Satvir Singh
WIRELESS PERSONAL COMMUNICATIONS
(2018)
Article
Computer Science, Artificial Intelligence
Sarabjeet Singh, Satvir Singh, Vijay Kumar Banga
Article
Computer Science, Artificial Intelligence
Palvinder Singh Mann, Satvir Singh
ARTIFICIAL INTELLIGENCE REVIEW
(2019)
Proceedings Paper
Automation & Control Systems
Vikram Mutneja, Satvir Singh
2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, INSTRUMENTATION AND CONTROL TECHNOLOGIES (ICICICT)
(2017)
