Underwater acoustic sensor networks (UW-ASNs) have been attracting more and more research interests recently due to their various promising applications. For the applications such as the environmental monitoring and event detection services, there will be a large amount of data generated in UW-ASNs. To reliably store and efficiently retrieve the generated data, data-centric storage which stores the same type of data in a specific region and facilitates data retrieval is regarded as an attractive solution. In this paper, we focus on the cross-layer design for the data transmissions of data-centric storage in UW-ASNs. In order to minimize the network transmission delay in a specific data-centric storage procedure, we introduce the spatial reuse concept into the cross-layer design, where multiple communication links are permitted to perform data transmission simultaneously with efficient interference management. Then, we propose a spatial reuse TDMA based cross-layer (SRC-TDMA) protocol by jointly taking data routing and resource scheduling into consideration. Simulation results verify that our proposed SRC-TDMA protocol can significantly reduce the network transmission delay compared with the traditional TDMA protocol and the interference graph based TDMA (IG-TDMA) protocol.
|Original language||English (US)|
|Title of host publication||10th ACM International Conference on Underwater Networks and Systems, WUWNet 2015|
|Publisher||Association for Computing Machinery, Inc|
|State||Published - Oct 22 2015|
|Event||10th ACM International Conference on Underwater Networks and Systems, WUWNet 2015 - Washington, United States|
Duration: Oct 22 2015 → Oct 24 2015
|Name||10th ACM International Conference on Underwater Networks and Systems, WUWNet 2015|
|Conference||10th ACM International Conference on Underwater Networks and Systems, WUWNet 2015|
|Period||10/22/15 → 10/24/15|
Bibliographical noteFunding Information:
This work was supported in part by the National Natural Science Foundation under Grant CNS-1343189; by the National Natural Science Foundation of China under Grants 61571020 and 61172105; by the National 863 Project under Grants 2014AA01A706 and SS2015AA011306; and by the Major Project from Beijing Municipal Science and Technology Commission under Grant D151100000115004.
Copyright 2013 ACM.