A review on the recent energy-efficient approaches for the Internet protocol stack

Cengiz, Korhan; Dağ, Tamer

doi:10.1186/s13638-015-0336-z

Cited by 22 publications

(7 citation statements)

References 71 publications

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“…The characteristics of a protocol stack significantly unveil the supporting features and connectivity ability of a communication model. Due to the low cost, LPW devices cannot accommodate communication protocols which often consume much energy such as advanced packet loss/congestion management [27]. Another critical factor is that the data per request in LPW networks are typically quite small, just 10-12 bytes long in the application payloads and rarely exceeding 200 bytes.…”

Section: Overview Of Lpw Protocol Stackmentioning

confidence: 99%

Energy Depletion Attacks in Low Power Wireless Networks

2019

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Low Power Wireless (LPW) networks have recently been emerging as key candidates to offer affordable connectivity for the constrained devices in the Internet of Things (IoT). However, they also raise major security concerns due to the inherent security vulnerabilities of built-in communication protocols. By exploiting these flaws, an adversary can attack sensors or actuators in an LPW network and force them to execute energy-hungry tasks such as verifying unauthenticated garbage messages repeatedly. This attack, namely energy depletion attack (EDA), can drain the batteries of the devices rapidly and lead to soaring network-wide energy expenditure. Consequently, the offense can leave the victims disabled, and even shut down the whole network due to the battery exhaustion of all the devices. In this paper, we investigate existing studies and provide a systematic review of EDAs and defenses in LPW networks. Through this work, we conclude that most existing LPW technologies are vulnerable to EDAs. This paper also indicates the security challenges in LPW networks related to EDAs along with the potential research directions. While LPW technologies have already hit the market with the promising deployment schedules, our attempt can inspire the research community to enhance the security of underlying protocols that will shape the connectivity of billions of devices in the future IoT ecosystem.INDEX TERMS Energy depletion attacks, IoT security, IoT embedded devices, low power wireless sensor networks.

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Section: Overview Of Lpw Protocol Stackmentioning

confidence: 99%

Energy Depletion Attacks in Low Power Wireless Networks

2019

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“…Many researches aim to discuss MAC protocols that involve energy optimization and priority-based allocation. During the last few years, a high number of researches have been concentrated on improving energy consumption and reducing delay for WSNs [1][2][3][4]. Furthermore, data transmission management was also being a challenging task for the IEEE-802.15.4 to improve the Quality of Service (QoS) [5][6][7] by a new slot allocation scheme.…”

Section: Introductionmentioning

confidence: 99%

A New Medium Access Control Mechanism for Energy Optimization in WSN: Traffic Control and Data Priority Scheme

Bouazzi

Zaidi

Usman

et al. 2021

Preprint

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Over the last few years, energy optimization in Wireless Sensor Networks (WSNs) has drawn the attention of both the research community and actual users. Sensor nodes are powered by attached batteries that are considered as a critical aspect of sensor nodes design. Besides, the constraint of the limited battery capacity is associated with the concern on how to reduce the energy consumption of nodes to extend the network lifetime. In this context, the purpose of this study is to implement an adaptive Medium Access Control (MAC) for energy saving and traffic control enhancement. This program was designed to arrange nodes into two priority groups according to their traffic rate and data transmission packet delay. This fuzzy algorithm depends on their queue length where it is implemented into the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) algorithm. However, other types of nodes should send their data during the Contention Free Period (CFP) with a GTS reallocation scheme. Those nodes are classified as low priority access to the medium and their data transmission is scheduled using time division multiple access methods. Moreover, this proposed scheme dynamically adjusts the Contention Access Period (CAP) length to ensure that nodes can complete their data transmission during the same super-frame. Simulation results are done using the Network Simulator tool (NS-2) and it has improved efficiency regarding the IEEE-802.15.4 standard.

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“…Energy efficient hardware techniques usually employ the energy efficient computing components [19], [20], such as, multispeed disks, SSD disks, DVFS enabled CPU and Flash memory etc. From the layer of cloud system perspective, energy efficient techniques are employed in different layers, such as, in application layer [21], data center layer [22], [23], cluster layer [24], [25], RAID layer [26], [27], node layer [28], virtualization layer [29], [30], OS layer [31], processor layer [32], [33], disk layer [34], [35], memory layer [36], [37] and network layer [38], [39]. The review map of the different energy-aware techniques is shown in Figure 2.…”

Section: Introductionmentioning

confidence: 99%

A Survey and Taxonomy on Energy-Aware Data Management Strategies in Cloud Environment

You

Zhen

et al. 2020

IEEE Access

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During the past ten years, the energy consumption problem in cloud-related environments has attracted substantial attention in research and industrial communities. Researchers have conducted many surveys on energy efficiency issues from different perspectives. All of the surveys can be classified into five categories: surveys on the energy efficiency of the whole cloud related system, surveys on the energy efficiency of a certain level or component of the cloud, surveys on all of the energy efficient strategies, surveys on a certain energy efficiency techniques, and other energy efficiency related surveys. However, to the best of our knowledge, surveys on energy-aware data management strategies in cloud-related environment are absent. In this paper, we conduct a comprehensive survey on energy saving-aware data management strategies in cloud-related environments, such as data classification, data placement and data replication strategies. Compared to current existing reviews on energy efficiency in cloud-related environments, we firstly conduct the survey on the energy consumption problem from the data management perspective. Furthermore, we classify the energy-aware data management strategies from different perspectives. This survey and the taxonomy of the energy-aware data management strategies demonstrate the potential for reducing the energy consumption at the data management level of a cloud storage system, which will compress more space for energy reduction and finally achieve energy proportionality. Moreover, this survey and taxonomy on the energy efficiency issue from the data management perspective is an important supplement to current existing surveys on energy efficiency in cloud-related environments.

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A review on the recent energy-efficient approaches for the Internet protocol stack

Cited by 22 publications

References 71 publications

Energy Depletion Attacks in Low Power Wireless Networks

Energy Depletion Attacks in Low Power Wireless Networks

A New Medium Access Control Mechanism for Energy Optimization in WSN: Traffic Control and Data Priority Scheme

A Survey and Taxonomy on Energy-Aware Data Management Strategies in Cloud Environment

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