Energy efficient wireless unicast routing alternatives for machine-to-machine networks

Tekbiyik, Neyre; Uysal-Biyikoğlu, Elif

doi:10.1016/j.jnca.2011.02.005

Cited by 50 publications

(18 citation statements)

References 33 publications

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“…The energy saving algorithm test results of the routing node and the terminal node based on dormancy proposed in the paper are respectively shown in figure 6 and figure 7. [16][17]. The algorithm is simulated on the CC2630 platform, and compared with new algorithms.…”

Section: Algorithm Verificationmentioning

confidence: 99%

Energy Saving Algorithm of Zigbee Network based on Whole Network Dormancy

Ren¹,

Zhao²,

Cao³

2017

Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)

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Abstract. Wireless sensor nodes are usually powered by batteries and then work for a long time after deployment, which means that the energy of nodes could become a bottleneck of network operation. To solve the problem of energy limitation of nodes in wireless sensor network, this paper proposes an energy saving routing algorithm based on whole network dormancy. The algorithm can turn all nodes, including terminal nodes, routing nodes and sink nodes, to sleep, saving energy for each node in the network. At the same time, it designs two sleep strategies, named long sleep and short sleep strategy, for routing nodes. The two strategies can further reduce consumption under the premise of not affecting energy consumption. The experimental results based on CC2630 show that: compared with exiting related algorithm, the new algorithm reduces consumption of nodes by 10%.

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Section: Algorithm Verificationmentioning

confidence: 99%

Energy Saving Algorithm of Zigbee Network based on Whole Network Dormancy

Ren¹,

Zhao²,

Cao³

2017

Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)

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“…Energy efficiency is very challenging in machine-to-machine networks architectures (Tekbiyik and Uysal-Biyikoglu, 2011). Underwater communication systems have more stringent power requirements than terrestrial systems (Akyildiz et al, 2005) because acoustic communications are more power-hungry, and typical transmission distances in the IoUT are greater; hence, higher transmit power is required to ensure coverage.…”

Section: Research Challengesmentioning

confidence: 99%

An overview of the internet of underwater things

Domingo

2012

Journal of Network and Computer Applications

333

129

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“…The five elements structure proposed by ETSI forms the three interlinked domains, including M2M area domain formed by an M2M area network and M2M gateway, communication network domain consisting of all kinds of wired/wireless networks such as xDSL and 3G, and application domain [34,35]. According to ETSI, this standardization plays an indispensable role in long term development of the M2M technology.…”

Section: Architectures For M2m Communicationsmentioning

confidence: 99%

From machine-to-machine communications towards cyber-physical systems

Wan¹,

Chen²,

Xia³

et al. 2013

ComSIS

171

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In recent years, cyber-physical systems (CPS) have emerged as a promising direction to enrich the interactions between physical and virtual worlds. In this article, we first present the correlations among machine-to-machine (M2M), wireless sensor networks (WSNs), CPS and internet of things (IoT), and introduce some research activities in M2M, including M2M architectures and typical applications. Then, we review two CPS platforms and systems that have been proposed recently, including a novel prototype platform for multiple unmanned vehicles with WSNs navigation and cybertransportation systems. Through these reviews, we propose CPS is an evolution of M2M by the introduction of more intelligent and interactive operations, under the architecture of IoT. Also, we especially hope to demonstrate how M2M systems with the capabilities of decisionmaking and autonomous control can be upgraded to CPS and identify the important research challenges related to CPS designs.

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Energy efficient wireless unicast routing alternatives for machine-to-machine networks

Cited by 50 publications

References 33 publications

Energy Saving Algorithm of Zigbee Network based on Whole Network Dormancy

Energy Saving Algorithm of Zigbee Network based on Whole Network Dormancy

An overview of the internet of underwater things

From machine-to-machine communications towards cyber-physical systems

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