Self-Organized Things (SoT): An energy efficient next generation network management

Akgül, Özgür Umut; Canberk, Berk

doi:10.1016/j.comcom.2014.07.004

Cited by 38 publications

(20 citation statements)

References 14 publications

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“…cost-efficiency: this criterion should be also heavily considered, as investments as well as management costs of such IOT device could represent a relevant weakness if not carefully evaluated (Hong et al, 2014); energy efficiency: energy consumption currently represents an important limitation to several IOT technology applications (Akgül and Canberk, 2014;Huang et al, 2015); it could represent a critical issue also for designing devices for PAYT systems, where often several devices are located in large areas usually out of direct control of the MSWM service companies (e.g. in a street or in a private area).…”

Section: Paper Bin Level Detection Technologymentioning

confidence: 99%

Designing Pay-As-You-Throw schemes in municipal waste management services: A holistic approach

2015

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Section: Paper Bin Level Detection Technologymentioning

confidence: 99%

Designing Pay-As-You-Throw schemes in municipal waste management services: A holistic approach

2015

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“…In 2014, Akgul and Canberk [19] proposed the concept of "Self-Organized Things" (SoT), in which the sensors undergo automatic configuration, optimization, and healing mechanisms to save energy. They explained that the sensors can be put in sleep mode when the coverage area can be compromised for energy saving.…”

Section: Related Workmentioning

confidence: 99%

“…They sense the target environment and send the sensor measurements to a gateway node (eGN). Based upon the frequency of data collection and transmission, SNs are classified as either trigger based or periodic [19]. The trigger-based SNs wait for a particular event (trigger) to occur and transmit data only when trigger is fired.…”

Section: A Sclmentioning

confidence: 99%

An Energy-Efficient Architecture for the Internet of Things (IoT)

Kaur

Sood

2017

IEEE Systems Journal

239

105

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Internet of things (IoT) is a smart technology that connects anything anywhere at any time. Such ubiquitous nature of IoT is responsible for draining out energy from its resources. Therefore, the energy efficiency of IoT resources has emerged as a major research issue. In this paper, an energy-efficient architecture for IoT has been proposed, which consists of three layers, namely, sensing and control, information processing, and presentation. The architectural design allows the system to predict the sleep interval of sensors based upon their remaining battery level, their previous usage history, and quality of information required for a particular application. The predicted value can be used to boost the utilization of cloud resources by reprovisioning the allocated resources when the corresponding sensory nodes are in sleep mode. This mechanism allows the energy-efficient utilization of all the IoT resources. The experimental results show a significant amount of energy saving in the case of sensor nodes and improved resource utilization of cloud resources.

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“…An energy-efficient next generation network management (SOT-EENGNM) [35] has been proposed to minimize the total energy consumption of things and to stabilize the whole coverage area by using an optimization procedure. In this technique, the next generation self-configuration, self-healing and self-optimization procedure of self-organizing network structure of long term evaluation systems is redefined to overcome human dependency in SOT (Figure 9).…”

Section: Energy Efficient Self-organized Things (Sot)-based Techniquesmentioning

confidence: 99%

“…Summaries of related literatures on energy efficient techniques at the sensing layer are given in Tables 4 and 5, which comprises characteristics/protocol, issues, contributions, techniques, simulation tools used, metrics and research limitations of each paper reviewed. An energy-efficient next generation network management (SOT-EENGNM) [35] has been proposed to minimize the total energy consumption of things and to stabilize the whole coverage area by using an optimization procedure. In this technique, the next generation self-configuration, self-healing and self-optimization procedure of self-organizing network structure of long term evaluation systems is redefined to overcome human dependency in SOT (Figure 9).…”

Section: Locationsmentioning

confidence: 99%

Cross-Layer Energy Optimization for IoT Environments: Technical Advances and Opportunities

Kumar

Kaiwartya

et al. 2017

Energies

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Abstract:Energy efficiency is a significant characteristic of battery-run devices such as sensors, RFID and mobile phones. In the present scenario, this is the most prominent requirement that must be served while introducing a communication protocol for an IoT environment. IoT network success and performance enhancement depend heavily on optimization of energy consumption that enhance the lifetime of IoT nodes and the network. In this context, this paper presents a comprehensive review on energy efficiency techniques used in IoT environments. The techniques proposed by researchers have been categorized based on five different layers of the energy architecture of IoT. These five layers are named as sensing, local processing and storage, network/communication, cloud processing and storage, and application. Specifically, the significance of energy efficiency in IoT environments is highlighted. A taxonomy is presented for the classification of related literature on energy efficient techniques in IoT environments. Following the taxonomy, a critical review of literature is performed focusing on major functional models, strengths and weaknesses. Open research challenges related to energy efficiency in IoT are identified as future research directions in the area. The survey should benefit IoT industry practitioners and researchers, in terms of augmenting the understanding of energy efficiency and its IoT-related trends and issues.

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Self-Organized Things (SoT): An energy efficient next generation network management

Cited by 38 publications

References 14 publications

Designing Pay-As-You-Throw schemes in municipal waste management services: A holistic approach

Designing Pay-As-You-Throw schemes in municipal waste management services: A holistic approach

An Energy-Efficient Architecture for the Internet of Things (IoT)

Cross-Layer Energy Optimization for IoT Environments: Technical Advances and Opportunities

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