IEICE TRANSACTIONS on Information
GRMR: Greedy Regional Multicast Routing for Wireless Sensor Networks
Summary :
Information Centric Networking (ICN) is a promising architecture as an alternative paradigm to traditional IP networking. The innovative concepts, such as named data, name-based routing, and in-network caching bring lots of benefits to Wireless Sensor Networks (WSNs). Simple and robust communication model of ICN, based on interest/data messages exchange, is appealing to be deployed in WSNs. However, ICN architectures are designed for power supplied network devices rather than resource-constrained sensor nodes. Introducing ICN-liked architecture to WSNs needs to rethink the naming scheme and forwarding strategy to meet the requirements of energy efficiency and failure recovery. This paper presents a light weight data centric routing mechanism (GRMR) for interest dissemination and data delivery in location-aware WSNs. A simple naming scheme gives assistance for routing decision by individual nodes. Greedy routing engaging with regional multicast mechanism provides an efficient data centric routing approach. The performance is analytically evaluated and simulated in NS-2. The results indicate that GRMR achieves significant energy efficiency under investigated scenarios.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.1 pp.21-29
- Publication Date
- 2016/01/01
- Publicized
- 2015/10/21
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015NTP0014
- Type of Manuscript
- Special Section PAPER (Special Section on the Architectures, Protocols, and Applications for the Future Internet)
- Category
Authors
Shimin SUN
Konkuk University,Nantong University
Li HAN
Konkuk University
Sunyoung HAN
Konkuk University
Keyword
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Shimin SUN, Li HAN, Sunyoung HAN, "GRMR: Greedy Regional Multicast Routing for Wireless Sensor Networks" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 1, pp. 21-29, January 2016, doi: 10.1587/transinf.2015NTP0014.
Abstract: Information Centric Networking (ICN) is a promising architecture as an alternative paradigm to traditional IP networking. The innovative concepts, such as named data, name-based routing, and in-network caching bring lots of benefits to Wireless Sensor Networks (WSNs). Simple and robust communication model of ICN, based on interest/data messages exchange, is appealing to be deployed in WSNs. However, ICN architectures are designed for power supplied network devices rather than resource-constrained sensor nodes. Introducing ICN-liked architecture to WSNs needs to rethink the naming scheme and forwarding strategy to meet the requirements of energy efficiency and failure recovery. This paper presents a light weight data centric routing mechanism (GRMR) for interest dissemination and data delivery in location-aware WSNs. A simple naming scheme gives assistance for routing decision by individual nodes. Greedy routing engaging with regional multicast mechanism provides an efficient data centric routing approach. The performance is analytically evaluated and simulated in NS-2. The results indicate that GRMR achieves significant energy efficiency under investigated scenarios.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015NTP0014/_p
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@ARTICLE{e99-d_1_21,
author={Shimin SUN, Li HAN, Sunyoung HAN, },
journal={IEICE TRANSACTIONS on Information},
title={GRMR: Greedy Regional Multicast Routing for Wireless Sensor Networks},
year={2016},
volume={E99-D},
number={1},
pages={21-29},
abstract={Information Centric Networking (ICN) is a promising architecture as an alternative paradigm to traditional IP networking. The innovative concepts, such as named data, name-based routing, and in-network caching bring lots of benefits to Wireless Sensor Networks (WSNs). Simple and robust communication model of ICN, based on interest/data messages exchange, is appealing to be deployed in WSNs. However, ICN architectures are designed for power supplied network devices rather than resource-constrained sensor nodes. Introducing ICN-liked architecture to WSNs needs to rethink the naming scheme and forwarding strategy to meet the requirements of energy efficiency and failure recovery. This paper presents a light weight data centric routing mechanism (GRMR) for interest dissemination and data delivery in location-aware WSNs. A simple naming scheme gives assistance for routing decision by individual nodes. Greedy routing engaging with regional multicast mechanism provides an efficient data centric routing approach. The performance is analytically evaluated and simulated in NS-2. The results indicate that GRMR achieves significant energy efficiency under investigated scenarios.},
keywords={},
doi={10.1587/transinf.2015NTP0014},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - GRMR: Greedy Regional Multicast Routing for Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Information
SP - 21
EP - 29
AU - Shimin SUN
AU - Li HAN
AU - Sunyoung HAN
PY - 2016
DO - 10.1587/transinf.2015NTP0014
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2016
AB - Information Centric Networking (ICN) is a promising architecture as an alternative paradigm to traditional IP networking. The innovative concepts, such as named data, name-based routing, and in-network caching bring lots of benefits to Wireless Sensor Networks (WSNs). Simple and robust communication model of ICN, based on interest/data messages exchange, is appealing to be deployed in WSNs. However, ICN architectures are designed for power supplied network devices rather than resource-constrained sensor nodes. Introducing ICN-liked architecture to WSNs needs to rethink the naming scheme and forwarding strategy to meet the requirements of energy efficiency and failure recovery. This paper presents a light weight data centric routing mechanism (GRMR) for interest dissemination and data delivery in location-aware WSNs. A simple naming scheme gives assistance for routing decision by individual nodes. Greedy routing engaging with regional multicast mechanism provides an efficient data centric routing approach. The performance is analytically evaluated and simulated in NS-2. The results indicate that GRMR achieves significant energy efficiency under investigated scenarios.
ER -
English
