TY - GEN
T1 - Bio-inspired Adaptive Architecture for Wireless Sensor Networks
AU - Eleftherakis, George
AU - Baxhaku, Fesal
AU - Vasilescu, Anca
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/11/25
Y1 - 2022/11/25
N2 - Wireless Sensor Networks (WSN) are expected to revolutionize daily life by connecting everyday objects with sensing capabilities, offering numerous opportunities for a wide range of applications. To facilitate the integration and enable all these opportunities to be realized, it becomes a necessity for middleware architectures that: (a) perform well in non-well-defined infrastructures, (b) are able to deal with the large number of users and heterogeneous devices integrated into it (ultra scalable), and (c) enable autonomy of the system overall. This work introduces a bio-inspired middleware optimized for wireless sensor networks proposing a refinement, the regional network, in a work published earlier as a bio-inspired self-adaptive architecture for the Internet of Things, while providing a comparison of other similar middleware approaches and a discussion on the motivating health monitoring scenario.
AB - Wireless Sensor Networks (WSN) are expected to revolutionize daily life by connecting everyday objects with sensing capabilities, offering numerous opportunities for a wide range of applications. To facilitate the integration and enable all these opportunities to be realized, it becomes a necessity for middleware architectures that: (a) perform well in non-well-defined infrastructures, (b) are able to deal with the large number of users and heterogeneous devices integrated into it (ultra scalable), and (c) enable autonomy of the system overall. This work introduces a bio-inspired middleware optimized for wireless sensor networks proposing a refinement, the regional network, in a work published earlier as a bio-inspired self-adaptive architecture for the Internet of Things, while providing a comparison of other similar middleware approaches and a discussion on the motivating health monitoring scenario.
UR - https://www.scopus.com/pages/publications/85152124575
UR - https://www.scopus.com/pages/publications/85152124575#tab=citedBy
U2 - 10.1145/3575879.3575976
DO - 10.1145/3575879.3575976
M3 - Conference contribution
AN - SCOPUS:85152124575
T3 - ACM International Conference Proceeding Series
SP - 116
EP - 122
BT - Proceedings - 26th Pan-Hellenic Conference on Informatics, PCI 2022
A2 - Karanikolas, Nikitas N.
A2 - Troussas, Christos
A2 - Vassilakopoulos, Michael Gr.
PB - Association for Computing Machinery
T2 - 26th Pan-Hellenic Conference on Informatics, PCI 2022
Y2 - 25 November 2022 through 27 November 2022
ER -