Transmission power control in WSNs : from deterministic to cognitive methods

M. Chincoli, A. Liotta

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2 Citations (Scopus)

Abstract

Communications in Wireless Sensor Networks (WSNs) are affected by dynamic environments, variable signal fluctuations and interference. Thus, prompt actions are necessary to achieve dependable communications and meet Quality of Service (QoS) requirements. To this end, the deterministic algorithms used in literature and standards, both centralized and distributed ones, are too slow and prone to cascading failures, instability and sub-optimality. Meanwhile, in recent years, cognitive protocols are gradually being introduced. This chapter provides an overview of the Transmission Power Control (TPC) protocols present in literature, categorized as deterministic (proactive and reactive) and cognitive (Swarm Intelligence, Fuzzy Logic and Reinforcement Learning). Only few solutions have considered TPC based on cognitive approaches, including both energy efficiency and QoS management. Our review identifies key shortcomings in deterministic TPC, pinpointing the benefit of the emerging methods based on computational intelligence.

Original languageEnglish
Title of host publicationIntegration, Interconnection, and Interoperability of IoT Systems
EditorsR. Gravina, C.E. Palau, M. Manso, A. Liotta, G. Fortino
Place of PublicationCham
PublisherSpringer
Pages39-57
Number of pages19
ISBN (Electronic)978-3-319-61300-0
ISBN (Print)978-3-319-61299-7
DOIs
Publication statusPublished - 2018

Publication series

NameInternet of Things
PublisherSpringer
ISSN (Print)2199-1073
ISSN (Electronic)2199-1081

Fingerprint

power transmission
Power control
Wireless sensor networks
intelligence
sensors
Quality of service
communication
Network protocols
Communication
Reinforcement learning
reinforcement
learning
Fuzzy logic
Artificial intelligence
logic
Energy efficiency
emerging
interference
requirements
energy

Cite this

Chincoli, M., & Liotta, A. (2018). Transmission power control in WSNs : from deterministic to cognitive methods. In R. Gravina, C. E. Palau, M. Manso, A. Liotta, & G. Fortino (Eds.), Integration, Interconnection, and Interoperability of IoT Systems (pp. 39-57). (Internet of Things). Cham: Springer. https://doi.org/10.1007/978-3-319-61300-0_3
Chincoli, M. ; Liotta, A. / Transmission power control in WSNs : from deterministic to cognitive methods. Integration, Interconnection, and Interoperability of IoT Systems. editor / R. Gravina ; C.E. Palau ; M. Manso ; A. Liotta ; G. Fortino. Cham : Springer, 2018. pp. 39-57 (Internet of Things).
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Chincoli, M & Liotta, A 2018, Transmission power control in WSNs : from deterministic to cognitive methods. in R Gravina, CE Palau, M Manso, A Liotta & G Fortino (eds), Integration, Interconnection, and Interoperability of IoT Systems. Internet of Things, Springer, Cham, pp. 39-57. https://doi.org/10.1007/978-3-319-61300-0_3

Transmission power control in WSNs : from deterministic to cognitive methods. / Chincoli, M.; Liotta, A.

Integration, Interconnection, and Interoperability of IoT Systems. ed. / R. Gravina; C.E. Palau; M. Manso; A. Liotta; G. Fortino. Cham : Springer, 2018. p. 39-57 (Internet of Things).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Chincoli M, Liotta A. Transmission power control in WSNs : from deterministic to cognitive methods. In Gravina R, Palau CE, Manso M, Liotta A, Fortino G, editors, Integration, Interconnection, and Interoperability of IoT Systems. Cham: Springer. 2018. p. 39-57. (Internet of Things). https://doi.org/10.1007/978-3-319-61300-0_3