TY - GEN
T1 - Optimal placement algorithm (OPA) for IoT over ICN
AU - Khedher, Hatem
AU - Afifi, Hossam
AU - Moustafa, Hassnaa
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/20
Y1 - 2017/11/20
N2 - Information Centric Networks (ICN) is very promising for Internet of Things (IoT) deployment, where the data-centric approach is useful in reducing the data retrieval latency as well as the network traffic for IoT services. Also, the innetwork caching capabilities in ICN limits the massive data access to the data producers and so relaxes the need of continuous connectivity E2E connectivity between data producers and data consumers (this helps power efficiency as IoT devices can enter in sleep mode when they are not transmitting data). In this paper, we present an ICN-IoT architecture in which ICN nodes provide IoT gateways capabilities and ICN caching functions. Optimal Placement Algorithm (OPA) is proposed to choose the optimal placement location for ICN nodes. We evaluated OPA with respect to several performance metrics and the obtained results show improvement in services consumption latency and network load. Furthermore, we propose a caching strategy that shows to stabilize the network load despite any increase in the number of consumer interests.
AB - Information Centric Networks (ICN) is very promising for Internet of Things (IoT) deployment, where the data-centric approach is useful in reducing the data retrieval latency as well as the network traffic for IoT services. Also, the innetwork caching capabilities in ICN limits the massive data access to the data producers and so relaxes the need of continuous connectivity E2E connectivity between data producers and data consumers (this helps power efficiency as IoT devices can enter in sleep mode when they are not transmitting data). In this paper, we present an ICN-IoT architecture in which ICN nodes provide IoT gateways capabilities and ICN caching functions. Optimal Placement Algorithm (OPA) is proposed to choose the optimal placement location for ICN nodes. We evaluated OPA with respect to several performance metrics and the obtained results show improvement in services consumption latency and network load. Furthermore, we propose a caching strategy that shows to stabilize the network load despite any increase in the number of consumer interests.
UR - https://www.scopus.com/pages/publications/85041340307
U2 - 10.1109/INFCOMW.2017.8116405
DO - 10.1109/INFCOMW.2017.8116405
M3 - Conference contribution
AN - SCOPUS:85041340307
T3 - 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
SP - 372
EP - 377
BT - 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
Y2 - 1 May 2017 through 4 May 2017
ER -