Article
Engineering, Electrical & Electronic
Lana I. S. Hamad, Tamer Dag, Tansal Gucluoglu
Summary: The development of Internet of Things applications in wireless sensor networks has gained momentum. This paper proposes a modulated R-SEP approach for large-scale WSN-based IoT applications, aiming to reduce energy consumption and extend network lifetime through improved energy distribution and multi-hop communication.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Rehenuma Tasnim Rodoshi, Yujae Song, Wooyeol Choi
Summary: In underwater wireless sensor networks, routing algorithms based on reinforcement learning can learn and optimize in underwater environments without prior knowledge, however, facing challenges such as high energy consumption and narrow bandwidth. Various routing protocols differ in terms of key ideas, designs, optimization criteria, and performance evaluation.
Article
Computer Science, Information Systems
Ahmed Badi, Imad Mahgoub
Summary: The Internet of Things (IoT) is an emerging field where buildings, vehicles, factories, and other entities communicate automatically, with a focus on energy-efficiency and reliability. The ReapIoT protocol introduces energy-saving techniques such as message classification and personalized link power settings to optimize energy consumption while ensuring reliable data delivery.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos A. M. Vieira, Kevin Chan, Ramesh Govindan, Gaurav S. S. Sukhatme, Paulo Tabuada, Gunjan Verma
Summary: While most networks have long lifetimes, temporary network infrastructure is often useful for special events, pop-up retail, or disaster response. An instant IoT network is quickly constructed and dismantled, and we study the synthesis of such networks in urban settings. The synthesis problem involves complex constraints such as sensor coverage, line-of-sight visibility, and network connectivity, and the challenge lies in quickly scaling to large regions while producing cost-effective solutions. We explore different representations of the synthesis problem using SMC and MILP, and develop a hierarchical synthesis technique to tackle larger problem sizes.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Hardware & Architecture
Muhammad Umar Farooq, Xingfu Wang, Ammar Hawbani, Asad Khan, Adeel Ahmed, Saeed Alsamhi, Bushra Qureshi
Summary: This paper presents a probabilistic weight-based energy-efficient cluster routing protocol for large-scale wireless sensor networks, which efficiently collects data through dynamic selection of cluster heads and load balancing.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Information Systems
Yishan Su, Yini Xu, Zhifeng Pang, Yuru Kang, Rong Fan
Summary: In this article, a hybrid coding-aware routing protocol (HCAR) is proposed for underwater acoustic sensor networks (UASNs). HCAR introduces interflow network coding and combines reactive routing with opportunistic routing to effectively reduce the number of transmissions. Simulation results and sea tests demonstrate that HCAR can optimize the routing problem of UASNs with multiple source nodes and a single sink node.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Zhiyi Qu, Huihui Xu, Xue Zhao, Hongying Tang, Jiang Wang, Baoqing Li
Summary: In this paper, an Energy-Efficient Dynamic Clustering (EEDC) protocol is proposed for event monitoring applications in large scale WSN, using a dynamic clustering method incorporating Rough Fuzzy C-Means and Genetic algorithm (RFCM-GA). The simulation results demonstrate that EEDC achieves higher energy efficiency and prolongs the network lifetime compared to existing approaches.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Yadong Gong, Guoming Lai
Summary: In this paper, a centralized clustering protocol called Low-Energy Dynamic Clustering (LEDC) is proposed to enhance the energy efficiency in query-based wireless sensor networks (WSNs). LEDC utilizes prediction-based scheme and centralized optimal dynamic cluster formation algorithms to match the distribution of clusters with that of query targets, and suggests an energy-aware forwarding strategy and a parallel processing algorithm to improve energy efficiency and network throughput.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Sahebeh Azar, Avid Avokh, Jamshid Abouei, Konstantinos N. Plataniotis
Summary: This paper addresses the problem of large-scale data collection in wireless sensor networks with multiple multi-interface mobile sinks. The proposed algorithm, DGM(2)S, aims to reduce energy consumption and delay by considering sink mobility and sink stopping for receiving aggregated data. It partitions the network into smaller sub-areas and employs an energy- and delay-efficient polling point selection strategy to collect data. Additionally, DGM(2)S utilizes a scheduling mechanism to optimize the use of multi-interface technology for data collection.
IEEE SENSORS 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
Computer Science, Information Systems
Rui Fernandes, Miguel Luis, Susana Sargento
Summary: Low-power wide-area networks (LPWANs) using technologies like LoRa show promise for long-range communication in urban IoT environments. The proposed LoRa-MAP protocol improves connectivity and scalability by adjusting parameters and utilizing control packets, making it suitable for large-scale single-channel LoRa networks.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
S. Suja Golden Shiny, K. Murugan
Summary: This paper proposed an automatic threshold based routing protocol (TSDN-WISE) for Software-Defined Wireless Sensor Networks (SDWSNs), which forwards data and control messages based on automatically calculated threshold value to reduce energy consumption and delay. Experimental results show that compared to baseline protocols, the TSDN-WISE protocol extends network lifetime by 65% on average and reduces control traffic overhead by 33.34%.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Yangbin Zhang, Lihua Liu, Mao Wang, Jibing Wu, Hongbin Huang
Summary: This paper introduces a novel application scenario for WSNs where raw data is collected using a multihop network without redundant sensor nodes. A new routing protocol called HTC-RDC is proposed to prolong the lifetime of WSNs in this scenario. Experimental results show that HTC-RDC can significantly extend the network lifetime compared to existing protocols.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Muhammad Taufiq Nuruzzaman, Huei-Wen Ferng
Summary: This paper proposes a novel beaconless geographical routing (BGR) protocol called heterogeneity-aware BGR (HA-BGR) that takes into account the locations of candidate forwarders and different transmission ranges. Through analytical and simulation results, it is shown that HA-BGR outperforms the recently proposed convex-lense decision region BGR (CDR-BGR) in terms of the number of next-hop candidates, end-to-end delivery ratio, and latency.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Youngju Nam, Hyunseok Choi, Yongje Shin, Soochang Park, Euisin Lee
Summary: This paper proposes a real-time routing protocol called EAR2 for mobile sinks in wireless sensor networks. EAR2 calculates data delivery speed by considering the static distance to the expected area of a mobile sink's location and its movement speed, in order to meet the desired time deadline. Additionally, a protocol called EAR2M with multiple flooding points is proposed to reduce flooding time and enhance data transmission reliability.