Article
Computer Science, Hardware & Architecture
Morteza Okhovvat, Mohammad Taghi Kheirabadi, Mohammad Reza Okhovvat, Ali Nodehi
Summary: This paper proposes a novel queue length aware task allocation approach for WSANs, which addresses the issues of task queue capacity limitation, task types, and distribution requirements. By jointly optimizing the makespan and energy consumption, this method achieves shorter makespan and higher residual energy, outperforming other approaches.
Article
Computer Science, Information Systems
Reham Almesaeed, Ahmed Jedidi
Summary: Interest in Mobile Wireless Sensor Networks (MWSN) is growing due to its various applications. Key factors in MWSN design include residual energy utilization, mobility, topology, scalability, and data routing. This article introduces a novel routing protocol that adapts to node mobility.
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
Computer Science, Information Systems
Donghyun Lee, Cheol Lee, Gunhee Jang, Woongsoo Na, Sungrae Cho
Summary: This paper proposes an energy-efficient adaptive directional charging (EEADC) algorithm that can choose between single charging and multicharging based on the density of sensor nodes for improved energy efficiency. The algorithm utilizes directional antennas to concentrate energy, identifies the optimum charging points and beam directions, and minimizes energy consumption.
IEEE INTERNET OF THINGS JOURNAL
(2022)
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
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
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
Niayesh Gharaei, Yasser D. Al-Otaibi, Suhail Ashfaq Butt, Sharaf Jameel Malebary, Sabit Rahim, Gul Sahar
Summary: By optimizing the moving trajectory and charging time of the wireless mobile charger, the proposed schemes remarkably enhance the network performance in terms of different evaluation metrics, improving energy efficiency and network lifetime.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Yun Xu, Wanguo Jiao, Mengqiu Tian
Summary: Energy optimization is crucial for energy-limited wireless sensor networks deployed in three-dimensional space. This study proposes an energy-efficient routing protocol for 3D WSN, aiming to find the minimum set of sensor nodes for full coverage of key points of interest using an improved genetic algorithm. The proposed adaptive clustering routing scheme includes selecting cluster heads, setting intra-cluster communication modes, and deciding inter-cluster communication modes, ultimately maximizing network energy utilization.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Haobo Guo, Runze Wu, Bing Qi, Chen Xu
Summary: In this paper, a DQN-based adaptive dual-mode energy-efficient routing algorithm is proposed to enhance the sustainability of rechargeable wireless sensor networks (RWSN). By calculating the life expectancy of each node and adjusting the routing mode dynamically based on the average life expectancy of the network, energy efficiency is effectively optimized. The reinforcement learning framework reduces the requirement of network state information for individual nodes.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Rongxin Zhu, Qihang Jiang, Xiangdang Huang, Deshun Li, Qiuling Yang
Summary: This paper proposes a reinforcement-learning-based opportunistic routing protocol (ROEVA) to address the challenges faced by underwater acoustic sensor networks (UASNs) such as high propagation delay, low transmission reliability, energy limitation, and void routing. Through the use of a reward function based on reinforcement learning and a waiting mechanism to reduce packet redundancy and collisions, the ROEVA protocol outperforms other existing protocols in terms of energy efficiency, packet delivery ratio, average hop count, and end-to-end delay.
IEEE SENSORS JOURNAL
(2022)
Correction
Computer Science, Information Systems
Khanh-Van Nguyen, Chi-Hieu Nguyen, Phi Le Nguyen, Tien Van Do, Imrich Chlamtac
Summary: An incorrect version of Figure 7 was included in our paper.
Article
Computer Science, Information Systems
Himank Gupta, Mehul Sharma, Antony A. Franklin, Bheemarjuna Reddy Tamma
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2020)
Article
Computer Science, Hardware & Architecture
Shashwat Kumar, Sai Vineeth Doddala, A. Antony Franklin, Jiong Jin
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2020)
Article
Computer Science, Hardware & Architecture
Anand M. Baswade, Mohith Reddy, A. Antony Franklin, Bheemarjuna Reddy Tamma, Vanlin Sathya
Summary: The study examines the coexistence of Wi-Fi and LTE-U in spatially distributed scenarios, proposing an analytical model for evaluating their throughput and validating the model's reliability through simulations and experiments.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Proceedings Paper
Computer Science, Hardware & Architecture
Anshika Chourasia, Bheemarjuna Reddy Tamma, Antony A. Franklin
Summary: This article discusses monitoring smartphones inside vehicles using Wi-Fi technology to estimate traffic conditions. By adjusting the channel hopping interval of Wi-Fi sniffers, the proposed algorithm improves the accuracy of traffic estimation, enhancing the robustness and efficiency of the traffic monitoring system.
2021 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Suhel Sajjan Magdum, Antony Franklin, Bheemarjuna Reddy Tamma, Digvijay S. Pawar
2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
(2020)
Proceedings Paper
Computer Science, Information Systems
Ujjwal Pawar, Aditya Kumar Singh, Keval Malde, Bheemarjuna Reddy Tamma, Antony A. Franklin
2020 IEEE 3RD 5G WORLD FORUM (5GWF)
(2020)
Proceedings Paper
Computer Science, Information Systems
Mohit Kumar Singh, Shwetha Vittal, Antony A. Franklin
2020 IEEE 3RD 5G WORLD FORUM (5GWF)
(2020)
Proceedings Paper
Computer Science, Information Systems
Supriya Dilip Tambe, Yogesh Mandge, Antony A. Franklin
2020 IEEE 3RD 5G WORLD FORUM (5GWF)
(2020)
Proceedings Paper
Computer Science, Information Systems
Venkatarami Reddy Chintapalli, Koteswararao Kondepu, Andrea Sgambelluri, Antony A. Franklin, Bheemarjuna Reddy Tamma, Piero Castoldi, Luca Valcarenghi
2020 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC 2020)
(2020)
Proceedings Paper
Computer Science, Software Engineering
Nabhasmita Sen, Antony A. Franklin
PROCEEDINGS OF THE 2020 6TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2020): BRIDGING THE GAP BETWEEN AI AND NETWORK SOFTWARIZATION
(2020)
Proceedings Paper
Computer Science, Software Engineering
Shwetha Vittal, Mohit Kumar Singh, Antony A. Franklin
PROCEEDINGS OF THE 2020 6TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2020): BRIDGING THE GAP BETWEEN AI AND NETWORK SOFTWARIZATION
(2020)
Proceedings Paper
Computer Science, Software Engineering
Venkatarami Reddy, Gaurav Garg, Bheemarjuna Reddy Tamma, Antony A. Franklin
PROCEEDINGS OF THE 2019 IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2019)
(2019)
Proceedings Paper
Computer Science, Software Engineering
Tulja Vamshi Kiran Buyakar, Harsh Agarwal, Bheemarjuna Reddy Tamma, Antony A. Franklin
PROCEEDINGS OF THE 2019 IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2019)
(2019)
Proceedings Paper
Computer Science, Hardware & Architecture
Suhel Sajjan Magdum, Mehul Sharma, Srikant Manas Kala, Antony A. Franklin, Bheemarjuna Reddy Tamma
2019 11TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS)
(2019)
Proceedings Paper
Computer Science, Hardware & Architecture
Gaurav Garg, Venkatarami Reddy, Antony A. Franklin, Bheemarjuna Reddy Tamma
2019 11TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS)
(2019)