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UPMAC: A Localized Load-Adaptive MAC Protocol for Underwater Acoustic Networks
- Source :
- ICCCN
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- Unlike terrestrial networks that mainly rely on radio waves for communications, underwater networks utilize acoustic waves, which have comparatively lower loss and longer range in underwater environments. However, acoustic waves incurs long propagation delays that typically lead to low throughput and higher energy cost of transmission than reception. Thus, collision and retransmission should be reduced in order to reduce energy cost and improve throughput. Receiver-based protocols, like receiver-initiated packet train and cluster-based on-demand time sharing, can significantly reduce collision and retransmission. But they are either time-consuming or energy consuming because nodes are controlled to turn into receiver mode by control packets or a timer regardless of load. In this paper, we propose an underwater practical MAC protocol (UPMAC), whose objective is to be adaptive to the network load conditions by providing two modes (high and low load modes) and switching between them based on different offered load. Turn-around time overhead is reduced and it is less vulnerable to control packet corruption by using the technique of piggyback. UPMAC uses receiver-based approach in high load mode, leading to a low data collision rate in both one-hop and multihop situation. Extensive simulations show that UPMAC can achieve better performance in both general and Sea Swarm topologies.
- Subjects :
- Computer science
Network packet
Retransmission
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
010401 analytical chemistry
Real-time computing
020206 networking & telecommunications
Throughput
02 engineering and technology
Propagation delay
Network topology
Collision
01 natural sciences
0104 chemical sciences
Offered load
Transmission (telecommunications)
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Instrumentation
Subjects
Details
- ISSN :
- 23799153 and 1530437X
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- IEEE Sensors Journal
- Accession number :
- edsair.doi...........6a695e6f745842c1247ed5fa442f0a79
- Full Text :
- https://doi.org/10.1109/jsen.2015.2449242