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  4. ST-MAC: Spatial-temporal MAC scheduling for underwater sensor networks
 
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ST-MAC: Spatial-temporal MAC scheduling for underwater sensor networks

Journal
Proceedings - IEEE INFOCOM
Pages
1827-1835
Date Issued
2009
Author(s)
Hsu, C.-C.
Lai, K.-F.
Chou, C.-F.
CHENG-FU CHOU  
DOI
10.1109/INFCOM.2009.5062103
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/487624
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349655437&doi=10.1109%2fINFCOM.2009.5062103&partnerID=40&md5=7e7cc1d3c573b1f47662817a1ee5f6a6
Abstract
Underwater sensor networks (UWSNs) have attracted a lot of attention recently. Since data in UWSNs are transmitted by acoustic signals, the characteristics of a UWSN are different from those of a terrestrial sensor network. In other words, the high propagation delay of acoustic signals in UWSNs causes spatial-temporal uncertainty, and makes transmission scheduling in UWSNs a challenging problem. Hence, in this paper, we propose a spatial-temporal MAC scheduling protocol, called ST-MAC, which is designed to overcome spatial-temporal uncertainty based on TDMA-based MAC scheduling for energy saving and throughput improvement. We construct the spatial-temporal conflict graph (ST-CG) to describe the conflict delays among transmission links explicitly, and model ST-MAC as a new vertex coloring problem of ST-CG. We then propose a novel heuristic, called the traffic-based one-step trial approach (TOTA), to solve the coloring problem. In order to obtain the optimal solution of the scheduling problem, we also derive a mixed integer linear programming (MILP) model. Finally, we present a comprehensive performance study via simulations. The results show that ST-MAC can perform better than existing MAC schemes (such as S-MAC, ECDiG, and T-Lohi) in terms of the network throughput and energy cost.
SDGs

[SDGs]SDG7

Type
conference paper

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