Packet Size Optimization for Lifetime Maximization in Underwater Acoustic Sensor Networks
Recently, underwater acoustic sensor networks (UASNs) have been proposed to explore underwater environments for scientific, commercial, and military purposes. However, long propagation delays, high transmission losses, packet drops, and limited bandwidth in underwater propagation environments make r...
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| Published in: | IEEE transactions on industrial informatics Vol. 15; no. 2; pp. 719 - 729 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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IEEE
01.02.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1551-3203, 1941-0050 |
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| Abstract | Recently, underwater acoustic sensor networks (UASNs) have been proposed to explore underwater environments for scientific, commercial, and military purposes. However, long propagation delays, high transmission losses, packet drops, and limited bandwidth in underwater propagation environments make realization of reliable and energy-efficient communication a challenging task for UASNs. To prolong the lifetime of battery-limited UASNs, two critical factors ( i.e. , packet size and transmission power) play vital roles. At one hand, larger packets are vulnerable to packet errors, while smaller packets are more resilient to such errors. In general, using smaller packets to avoid bit errors might be a good option. However, when small packets are used, more frames should be transmitted due to the packet fragmentation, and hence, network overhead and energy consumption increases. On the other hand, increasing transmission power reduces frame errors, but this would result in unnecessary energy consumption in the network. To this end, the packet size and transmission power should be jointly considered to improve the network lifetime. In this study, an optimization framework via an integer linear programming (ILP) has been proposed to maximize the network lifetime by joint optimization of the transmission power and packet size. In addition, a realistic link-layer energy consumption model is designed by employing the physical layer characteristics of UASNs. Extensive numerical analysis through the optimization model has been also performed to investigate the tradeoffs caused by the transmission power and packet size quantitatively. |
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| AbstractList | Recently, underwater acoustic sensor networks (UASNs) have been proposed to explore underwater environments for scientific, commercial, and military purposes. However, long propagation delays, high transmission losses, packet drops, and limited bandwidth in underwater propagation environments make realization of reliable and energy-efficient communication a challenging task for UASNs. To prolong the lifetime of battery-limited UASNs, two critical factors ( i.e. , packet size and transmission power) play vital roles. At one hand, larger packets are vulnerable to packet errors, while smaller packets are more resilient to such errors. In general, using smaller packets to avoid bit errors might be a good option. However, when small packets are used, more frames should be transmitted due to the packet fragmentation, and hence, network overhead and energy consumption increases. On the other hand, increasing transmission power reduces frame errors, but this would result in unnecessary energy consumption in the network. To this end, the packet size and transmission power should be jointly considered to improve the network lifetime. In this study, an optimization framework via an integer linear programming (ILP) has been proposed to maximize the network lifetime by joint optimization of the transmission power and packet size. In addition, a realistic link-layer energy consumption model is designed by employing the physical layer characteristics of UASNs. Extensive numerical analysis through the optimization model has been also performed to investigate the tradeoffs caused by the transmission power and packet size quantitatively. |
| Author | Gungor, Vehbi Cagri Yildiz, Huseyin Ugur Tavli, Bulent |
| Author_xml | – sequence: 1 givenname: Huseyin Ugur orcidid: 0000-0002-1556-2634 surname: Yildiz fullname: Yildiz, Huseyin Ugur email: hugur.yildiz@tedu.edu.tr organization: TED University, Ankara, Turkey – sequence: 2 givenname: Vehbi Cagri orcidid: 0000-0003-0803-8372 surname: Gungor fullname: Gungor, Vehbi Cagri email: cagri.gungor@agu.edu.tr organization: Abdullah Gul University, Kayseri, Turkey – sequence: 3 givenname: Bulent orcidid: 0000-0002-9615-1983 surname: Tavli fullname: Tavli, Bulent email: btavli@etu.edu.tr organization: TOBB University of Economics and Technology, Ankara, Turkey |
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| SubjectTerms | Batteries Energy consumption Energy management Energy transmission Forward error correction Integer linear programming (ILP) Integer programming Linear programming Mathematical models Modems network lifetime Numerical analysis Numerical models Optimization optimum packet size (OPS) Packet transmission Power consumption Power management Propagation Throughput Transmission loss transmission power control (TPC) underwater acoustic sensor networks (UASNs) Underwater acoustics Wireless sensor networks |
| Title | Packet Size Optimization for Lifetime Maximization in Underwater Acoustic Sensor Networks |
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