Energy conservation in wireless sensor networks: A survey

By Giuseppe Pio Anastasi, Marco Conti, Mario Di Francesco, Andrea Passarella. Ad hoc networks, 2009

2,843 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1d282c50c5edc070f285f23e6fde2736ea7643ed

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Low Power Wide Area Networks: An Overview (2016, background): “In the context of cellular LPWA networks, if excessive IoT/M2M trafﬁc starves the legacy cellular trafﬁc, MNOs may consider deploying LPWA support in unlicensed spectrum.”
Clustering in sensor networks: A literature survey (2014, background): “As WSNs are energy constrained and data transmission is the most energy consumer (Anastasi et al., 2009), there is a need to an architecture in which the transmission to a Base Station (BS) is as low as possible, and all the decisions are made in the node level.”
A review of industrial wireless networks in the context of Industry 4.0 (2015, background): “Although, many WSN nodes use other energy sources such as solar or wind energy, and there have been many studies done to increase energy efficiency and save power [4], the energy limitation has not improved significantly in practical applications.”
Green Internet of Things for Smart World (2015, methodology): “Regarding greenWSN, the following techniques should be adopted [7], [9], [29], [30]: 1) Make sensor nodes only work when necessary, while spending the rest of their lifetime in a sleep mode to save energy consumption; 2) Energy depletion (e.”
The role of communication systems in smart grids: Architectures, technical solutions and research challenges (2013, background): “This characteristic enables the use of mechanisms such as duty-cycling and data fusion to reduce spatially-correlated contention between nodes in the same neighborhood , as well as to improve energy efficiency and network lifetime [190].”
Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction (2019, methodology): “Such techniques are as follows: radio optimization, data reduction, sleep/wakeup approaches, power-efficient routing, and battery repletion, as they can be used for extending the WSNs life span.(108,109) Thus, the rest of this section investigated those techniques including existing studies’ solutio”
Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review (2017, methodology): “The data-driven power reduction technique aims to reduce the amount of sampled data by conserving the sensing accuracy to an appropriate level for a speciﬁed application [94].”
A kernel machine-based secure data sensing and fusion scheme in wireless sensor networks for the cyber-physical systems (2016, background): “It is known that the process of wireless communication consumes most of the energy [9].”
The Internet of Things vision: Key features, applications and open issues (2014, background): “, where sensor nodes cannot communicate directly), the energy consumption is distributed more uniformly in the network, and the network lifetime increases [49,50].”
A Survey on Software-Defined Wireless Sensor Networks: Challenges and Design Requirements (2017, background): “Anastasi et al. [5] propose that communication should be traded off with computation, i.e. reducing the communication overhead by performing more computation.”
Internet of Things (IoT) and the Energy Sector (2020, background): “Moreover, energy-efﬁcient routing techniques such as cluster architectures and employing multi-path routing techniques was understood as another solution [129–131].”
The Progressive Smart Grid System from Both Power and Communications Aspects (2012, background): “Issues include time synchronization [79], power consumption [80], medium access”
Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches (2019, methodology): “In order to achieve long-lived networks in these energy constrained environments, di ﬀ erent energy consumption minimisation methods such as low energy adaptive clustering hierarchy [195], in-network processing [196], and sleep mode conﬁguration [197] have been applied.”