Article
Computer Science, Information Systems
Che-Jung Hsu, Huey-Ing Liu
Summary: This paper focuses on the application of opportunistic routing (OR) in multi-channel (MC) environments. By surveying current methods and proposing an optimized approach called multi-channel token passing (MCTP), the study shows that MCTP achieves high performance with low overheads. The scalability of MCTP with increasing interface and channel numbers makes it a promising prototype for future OR research in MC environments.
Article
Computer Science, Information Systems
Mohammad Ali Mansouri Khah, Neda Moghim, Nasrin Gholami, Sachin Shetty
Summary: The paper introduces a multi-rate and multi-power opportunistic routing protocol called EMOR, which effectively utilizes spatial diversity of the network through considering different transmission rates and power levels to optimize routing performance.
Article
Computer Science, Information Systems
Yan Zhao, Gautam Srivastava
Summary: This study proposes an opportunistic routing algorithm based on trust relationships to address the issues of low message delivery rate and high network resource consumption in opportunistic networks. By measuring the trust degree between nodes and selecting nodes with high trust values for message forwarding, the algorithm successfully improves message delivery rate and reduces network resource consumption.
Article
Engineering, Electrical & Electronic
Zhiming Huang, Yifan Xu, Jianping Pan
Summary: By introducing an adaptive algorithm called TSOR, this paper proposes a new opportunistic routing approach that can learn link metrics and route packets simultaneously to reduce overall cost in dynamic networks. Theoretical analysis shows that the cumulative regret of TSOR grows sublinearly with respect to the number of packets, and has a lower order in terms of network size. Through comparisons with state-of-the-art algorithms, TSOR demonstrates lower regret and faster convergence to optimal policy.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(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
Computer Science, Information Systems
Weiqi Wu, Xingfu Wang, Ammar Hawbani, Ping Liu, Liang Zhao, Ahmed Al-Dubai
Summary: Many OR schemes neglect the diversity of network nodes and the impact of multiple network attributes on routing decisions. This paper proposes a novel protocol, FLORA, which addresses these issues by defining routing zones, prioritizing nodes, and selecting a final relay node. Experimental simulations demonstrate that FLORA outperforms its counterparts in terms of various performance metrics.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Review
Computer Science, Information Systems
Renu Dalal, Manju Khari, John Petearson Anzola, Vicente Garcia-Diaz
Summary: This article introduces the concept and characteristics of opportunistic networks, and summarizes the key issues and research advances in opportunistic routing through a review and analysis of the latest research. It is of great significance for understanding and applying opportunistic networks.
Article
Computer Science, Information Systems
Junaid Anees, Hao-Chun Zhang, Bachirou Guene Lougou, Sobia Baig, Yabibal Getahun Dessie, Yiyi Li
Summary: The use of energy harvesting technologies and a hybrid topology in hierarchical routing protocols can reduce control packet overhead and improve energy conservation in Wireless Sensor Networks. The proposed Harvested Energy Scavenging and Transfer capabilities in the Opportunistic Ring Routing protocol outperform existing benchmarks in terms of various performance metrics such as control packet overhead, energy conservation, network lifetime, packet delivery ratio, and average end-to-end delay.
Article
Computer Science, Hardware & Architecture
Nahideh Derakhshanfard, Reza Soltani
Summary: Multi-hop wireless networks consist of nodes that route data by forwarding it to other nodes, without relying on pre-built infrastructures. Opportunistic routing dynamically creates paths based on wireless link conditions, but faces challenges such as node mobility, limited energy, and network traffic. The proposed bitmap-based approach improves packet delivery efficiency compared to traditional methods.
Article
Engineering, Electrical & Electronic
Ning Li, Xin Yuan, Jose-Fernan Martinez-Ortega, Vicente Hernandez Diaz
Summary: The proposed network-based DDA algorithm in this study improves packet delivery probability in wireless multi-hop networks by reducing transmission delay and duplicate transmissions. By utilizing multiple attribute decision making theory, DDA selects the most suitable relay network based on factors such as packet delivery probability, transmission delay, and forwarding priorities. This innovative approach maintains the efficiency of opportunistic routing algorithms while effectively reducing transmission delay.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Danfeng Zhao, Guiyang Lun, Rui Xue
Summary: This paper proposes a coding-aware opportunistic routing method for sparse underwater wireless sensor networks (CORS), which improves network performance by maintaining topological information and using opportunistic coding strategy.
Article
Computer Science, Information Systems
Muhammad Umar Farooq, Xingfu Wang, Ammar Hawbani, Liang Zhao, Ahmed Al-Dubai, Omar Busaileh
Summary: This study adopts software-defined networking (SDN) to manage wireless sensor networks (WSNs) and proposes a load balanced opportunistic routing protocol for duty-cycled WSNs. The protocol decouples the control plane from the sensor nodes, prioritizes candidates based on three probability distributions, and significantly improves network lifetime, routing efficiency, energy consumption, sender waiting time, and duplicate packets compared to existing benchmarks.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
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)
Article
Chemistry, Analytical
Danfeng Zhao, Guiyang Lun, Rui Xue, Yanbo Sun
Summary: UWSNs are an important technology, with traditional routing protocols inefficient and OR protocols better adapting to the underwater environment; cross-layer design can optimize OR routing in UWSNs, but typical cross-layer OR routing protocols are prone to congestion; CLOR protocol reduces congestion in UWSNs through negotiation and transmission phases, significantly improving network performance.
Article
Computer Science, Information Systems
Tong Peng, Sangarapillai Lambotharan, Gan Zheng, Mohammad Shikh-Bahaei
Summary: This study proposes an opportunistic decoding and recoding mechanism combined with a coordinative routing algorithm to improve the performance of fountain codes in multi-hop wireless sensor networks. The algorithm outperforms existing opportunistic routing-based fountain code schemes.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)