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Home / programming language / Online Matlab Projects / DBR-MAC: A Depth-Based Routing Aware MAC Protocol for Data Collection in Underwater Acoustic Sensor Networks
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DBR-MAC: A Depth-Based Routing Aware MAC Protocol for Data Collection in Underwater Acoustic Sensor Networks

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SKU: PROJ7136 Categories: 2017 Projects, Final Year Projects, Online Matlab Projects, programming language, Wireless Sensor Networking Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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DBR-MAC: A Depth-Based Routing Aware MAC Protocol for Data Collection in Underwater Acoustic Sensor Networks

Abstract— Due to long propagation delays, routing discovery is very expensive in underwater acoustic sensor networks. There-fore, depth-based routing (DBR) protocols are usually preferred whose routing discovery cost is almost zero. However, DBR protocols working with broadcast medium access control (MAC) bring severe collisions especially in the data collection network. Moreover, in DBR, all the packets are forwarded from deep to shallow nodes along the direction toward the sink node. The directional packet transmissions may lead to load imbalance, where some nodes undertake most loads and we call these nodes key nodes. However, the majority of existing MAC protocols cannot provide the key nodes priority of accessing channel in the collision domain. It is necessary to design a MAC protocol coupling with DBR. In this paper, we adopt a cross-layer approach to propose a DBR aware MAC protocol called DBR-MAC, which smoothly integrates a handshaking-based MAC and a DBR protocol. It improves the throughput, energy, and time efficiency at the cost of fairness. A depth-based transmission scheduling scheme is introduced based on the depth information, angle information, and overheard one-hop neighboring nodes’ transmissions to make key nodes have higher priority to access the channel than other nodes. < final year projects >

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