Two-Tier Mobile Data Aggregation in Wireless Sensor Networks
Summary :
Recently, many wireless sensor networks (WSNs) have employed mobile sensor nodes to collect a variety of data from mobile elements such as humans, animals and cars. In this letter, we propose an efficient mobile data aggregation scheme to improve the overall performance in gathering the data of the mobile nodes. We first propose a spatial mobile data aggregation scheme to aggregate the data of the mobile node spatially, which is then extended to a two-tier mobile data aggregation by supplementing a temporal mobile data aggregation scheme to aggregate the data of multiple mobile nodes temporally. Simulation results show that our scheme significantly reduces the energy consumption and gathering delay for data collection from mobile nodes in WSNs.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.10 pp.1900-1903
- Publication Date
- 2016/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E99.A.1900
- Type of Manuscript
- LETTER
- Category
- Mobile Information Network and Personal Communications
Authors
Daehee KIM
Korea University
Sangbin LEE
Aerospace Research Institute
Keyword
Latest Issue
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Daehee KIM, Sangbin LEE, "Two-Tier Mobile Data Aggregation in Wireless Sensor Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 10, pp. 1900-1903, October 2016, doi: 10.1587/transfun.E99.A.1900.
Abstract: Recently, many wireless sensor networks (WSNs) have employed mobile sensor nodes to collect a variety of data from mobile elements such as humans, animals and cars. In this letter, we propose an efficient mobile data aggregation scheme to improve the overall performance in gathering the data of the mobile nodes. We first propose a spatial mobile data aggregation scheme to aggregate the data of the mobile node spatially, which is then extended to a two-tier mobile data aggregation by supplementing a temporal mobile data aggregation scheme to aggregate the data of multiple mobile nodes temporally. Simulation results show that our scheme significantly reduces the energy consumption and gathering delay for data collection from mobile nodes in WSNs.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.1900/_p
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@ARTICLE{e99-a_10_1900,
author={Daehee KIM, Sangbin LEE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Two-Tier Mobile Data Aggregation in Wireless Sensor Networks},
year={2016},
volume={E99-A},
number={10},
pages={1900-1903},
abstract={Recently, many wireless sensor networks (WSNs) have employed mobile sensor nodes to collect a variety of data from mobile elements such as humans, animals and cars. In this letter, we propose an efficient mobile data aggregation scheme to improve the overall performance in gathering the data of the mobile nodes. We first propose a spatial mobile data aggregation scheme to aggregate the data of the mobile node spatially, which is then extended to a two-tier mobile data aggregation by supplementing a temporal mobile data aggregation scheme to aggregate the data of multiple mobile nodes temporally. Simulation results show that our scheme significantly reduces the energy consumption and gathering delay for data collection from mobile nodes in WSNs.},
keywords={},
doi={10.1587/transfun.E99.A.1900},
ISSN={1745-1337},
month={October},}
Copy
TY - JOUR
TI - Two-Tier Mobile Data Aggregation in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1900
EP - 1903
AU - Daehee KIM
AU - Sangbin LEE
PY - 2016
DO - 10.1587/transfun.E99.A.1900
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2016
AB - Recently, many wireless sensor networks (WSNs) have employed mobile sensor nodes to collect a variety of data from mobile elements such as humans, animals and cars. In this letter, we propose an efficient mobile data aggregation scheme to improve the overall performance in gathering the data of the mobile nodes. We first propose a spatial mobile data aggregation scheme to aggregate the data of the mobile node spatially, which is then extended to a two-tier mobile data aggregation by supplementing a temporal mobile data aggregation scheme to aggregate the data of multiple mobile nodes temporally. Simulation results show that our scheme significantly reduces the energy consumption and gathering delay for data collection from mobile nodes in WSNs.
ER -
English
