TY - GEN
T1 - Agent-based IoT Coordination for Smart Cities Considering Security and Privacy
AU - Garcia-Magarino, Ivan
AU - Gray, Geraldine
AU - Muttukrishnan, Rajarajan
AU - Asif, Waqar
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - The interest in Internet of Things (IoT) is increasing steeply, and the use of their smart objects and their composite services may become widespread in the next few years increasing the number of smart cities. This technology can benefit from scalable solutions that integrate composite services of multiple-purpose smart objects for the upcoming large-scale use of integrated services in IoT. This work proposes an agent-based approach for supporting large-scale use of IoT for providing complex integrated services. Its novelty relies in the use of distributed blackboards for implicit communications, decentralizing the storage and management of the blackboard information in the smart objects, which are accessed by nearby requests. This avoids (a) the common bottlenecks of implicit communications based on centralized blackboards and (b) the overload of bandwidth due to explicit peer-to-peer communications. This solution raises challenges in privacy and security, and some potential solutions are discussed in this paper. Simulations based on a region in Dublin city shows the potential utility of this approach illustrated in the domain of coordination of electric vehicles in selecting paths and charging stations.
AB - The interest in Internet of Things (IoT) is increasing steeply, and the use of their smart objects and their composite services may become widespread in the next few years increasing the number of smart cities. This technology can benefit from scalable solutions that integrate composite services of multiple-purpose smart objects for the upcoming large-scale use of integrated services in IoT. This work proposes an agent-based approach for supporting large-scale use of IoT for providing complex integrated services. Its novelty relies in the use of distributed blackboards for implicit communications, decentralizing the storage and management of the blackboard information in the smart objects, which are accessed by nearby requests. This avoids (a) the common bottlenecks of implicit communications based on centralized blackboards and (b) the overload of bandwidth due to explicit peer-to-peer communications. This solution raises challenges in privacy and security, and some potential solutions are discussed in this paper. Simulations based on a region in Dublin city shows the potential utility of this approach illustrated in the domain of coordination of electric vehicles in selecting paths and charging stations.
KW - agent-based simulation
KW - distributed blackboard
KW - electric vehicle
KW - Internet of Things
KW - multi-agent systems
KW - smart city
UR - https://www.scopus.com/pages/publications/85077955208
U2 - 10.1109/IOTSMS48152.2019.8939194
DO - 10.1109/IOTSMS48152.2019.8939194
M3 - Conference contribution
AN - SCOPUS:85077955208
T3 - 2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019
SP - 221
EP - 226
BT - 2019 6th International Conference on Internet of Things
A2 - Alsmirat, Mohammad
A2 - Jararweh, Yaser
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019
Y2 - 22 October 2019 through 25 October 2019
ER -
