Research on MAC Protocol for UWA Sensor Network

2013 ◽  
Vol 303-306 ◽  
pp. 236-241
Author(s):  
Wen Zhong Zhu

The characteristics and environment of the underwater acoustic (UWA) sensor network require a MAC protocol to be suitable for the long propagation delay. So we put forward a suitable MAC protocol, referring to the AGENT protocol in this paper. We call this protocol C-AGENT-LPD, which means C-AGENT with Long Propagation Delay. And it makes full use of the spatial multiplexing of the UWA channel. Through the simulations, we can see that the protocol has better time delay and throughput performance than the other two MAC protocols.

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2284
Author(s):  
Ibrahim B. Alhassan ◽  
Paul D. Mitchell

Medium access control (MAC) is one of the key requirements in underwater acoustic sensor networks (UASNs). For a MAC protocol to provide its basic function of efficient sharing of channel access, the highly dynamic underwater environment demands MAC protocols to be adaptive as well. Q-learning is one of the promising techniques employed in intelligent MAC protocol solutions, however, due to the long propagation delay, the performance of this approach is severely limited by reliance on an explicit reward signal to function. In this paper, we propose a restructured and a modified two stage Q-learning process to extract an implicit reward signal for a novel MAC protocol: Packet flow ALOHA with Q-learning (ALOHA-QUPAF). Based on a simulated pipeline monitoring chain network, results show that the protocol outperforms both ALOHA-Q and framed ALOHA by at least 13% and 148% in all simulated scenarios, respectively.


2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Changho Yun ◽  
Yong-Kon Lim

The nonnegligible propagation delay of acoustic signals causes spatiotemporal uncertainty that occasionally enables simultaneous, collision-free packet transmission among underwater nodes (UNs). These transmissions can be handled by efficiently managing the channel access of the UNs in the data-link layer. To this end, Geometric Spatial Reuse-TDMA (GSR-TDMA), a new TDMA-based MAC protocol, is designed for use in centralized, multihop underwater acoustic sensor networks (UASNs), and in this case all UNs are periodically scheduled after determining a geometric map according to the information on their location. The scheduling strategy increases the number of UNs that send packets coincidentally via two subscheduling configurations (i.e., interhop and intrahop scheduling). Extensive simulations are used to investigate the reception success rate (RSR) and the multihop delay (MHD) of GSR-TDMA, and the results are compared to those of previous approaches, including C-MAC and HSR-TDMA. GSR-TDMA outperforms C-MAC; the RSR of GSR-TDMA is 15% higher than that of C-MAC, and the MHD of GSR-TDMA is 30% lower than that of C-MAC at the most. In addition, GSR-TDMA provides even better performance improvements over HSR-TDMA; the RSR of GSR-TDMA is 50% higher than that of HSR-TDMA, and the MHD of GSR-TDMA is an order of102lower than that of HSR-TDMA at the most.


2014 ◽  
Vol 651-653 ◽  
pp. 1790-1797 ◽  
Author(s):  
Sheng Quan Wang ◽  
Da Jun Sun ◽  
You Wen Zhang

Efficient intra-cluster communication on the MAC layer in the underwater acoustic sensor networks has always been the primary concern. However, the existing MAC protocols are not suitable for the intra-cluster communication. In this paper, we analyze some typical MAC protocols and the reasons for their unsuitability. We propose IC-MAC, an Intra-cluster MAC protocol based on a model of intra-cluster nodes location. This protocol realizes the slot synchronization between nodes, sleep mechanism and collision avoidance. Finally, we simulate IC-MAC, TDMA and T-Lohi for comparison. The results show IC-MAC has better performance in terms of throughput and end-to-end delay. Our design is also energy-efficient.


Wireless sensor network is the network of sensor nodes. The nodes transmit data to the sink node. Each sensor nodes have its own battery and ability to communicate with sink node. Network of such nodes is called sensor network. The successful operation of WSN largely depends on MAC sublayer which deals with addressing and channel access control. WSN has varied design constraints such as energy consumption, scalability, delay, traffic control, packet delivery throughput and overheads that need an effective MAC protocol to deal with these problems. Energy must be utilized efficiently in order to increase the lifetime of the Wireless Sensor Network. MAC protocols reduce the cost of energy consumption by providing an efficient communication for transmission and hence improves network lifetime. This paper shows the implementation of FMAC Protocol in healthcare system for different reporting rates. The purpose of the study is to identify the best MAC protocol in Healthcare System. Results for implementation of Hybrid MAC for hospital network are presented in the paper. Results for Data transmission between nodes and sink node has been evaluated to identify Good MAC protocol. Paper represents how low energy consumption can be achieved by combining TDMA and CSMA MAC protocols.


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