Energy and Memory Efficient Data Loss Prevention in Wireless Sensor Networks

Hejazi, Pooya; Ferrari, Gianluigi

doi:10.20944/preprints201807.0206.v1

Cited by 2 publications

(3 citation statements)

References 12 publications

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“…WSN is used for a variety of applications to help a human being to monitor surroundings, chase a target, track health records and assist in many other monitoring and prevention measures [7][8][9][10]. A framework for WSN is presented which integrates two routing protocol algorithms.…”

Section: Related Workmentioning

confidence: 99%

An Energy-Aware, Highly Available, and Fault-Tolerant Method for Reliable IoT Systems

Bukhsh

Abdullah²,

Rahman

et al. 2021

IEEE Access

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The Internet of Things (IoT) is one of the highly influencing and promising technologies of today's world, consisting of sensor devices. The internet smoothly changes from an internet of people towards an Internet of Things (IoT), which allows different things and objects to connect wirelessly. Things and objects are grouped into IoT subgroups in the IoT system, which are called clusters, and each cluster is controlled by a central authority and checked by the broker's help. A concept of keeping backup data is used to increase the lifespan of IoT subgroups by avoiding re-clustering overhead for smooth transmission of packets and increasing availability concerns. A novel approach is used for the selection of cluster head/broker and backup nodes simultaneously. Cluster head and Backup Storage Point node (BSP) remain the same unless and until the residual power of the broker/cluster head is greater than the threshold energy. A novel Energy Efficient Message scheduling algorithm EAAFTMS (An Energy-Aware Available and Fault-Tolerant System with Message Scheduling in IoT) is incorporated at broker node for smooth transmission of messages. This proposed approach is not only solving availability issues over the wireless network but also proved to be energy efficient by prolonging the battery-powered network lifetime. Simulation results prove EAAFTMS, many folds better than benchmark protocols. This system ensures fault-tolerant and available schemes for IoT systems while stabilizing the energy of the overall system. The results shown prove the effectiveness and efficiency of the proposed system.

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Section: Related Workmentioning

confidence: 99%

An Energy-Aware, Highly Available, and Fault-Tolerant Method for Reliable IoT Systems

Bukhsh

Abdullah²,

Rahman

et al. 2021

IEEE Access

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show abstract

“…IoT network is usually attributed to WSN. WSN consists of small sensing devices with constricted bandwidth, power and computational capacities [11]. Devices made of WSN collaboratively sense and respond to the environment [14].…”

Section: Iot Wireless Sensor Networkmentioning

confidence: 99%

“…Hejazi and Ferrari [11] denote ζm ∈ [0, 1] as the fraction of the remaining free memory in sensor nodes during propagation of sensed data; This coefficient can thus be expressed in equation 3…”

Section: Abandon Ratementioning

confidence: 99%

Modelling and Mitigation Strategy of IoT Botnet Propagation

Ibrahim¹,

Abdullah²,

Abdullah³

et al. 2019

Preprint

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Nodes in wireless sensor networks (WSN) are characterized particularly by their limited power and memory capabilities. Limited memory is an important parameter as it defines the size of the operating system and the processing code. As established previously, energy and memory efficiency is the most important evaluation factors of WSNs as they are directly related to data loss and network lifetime. However, based on our simulation results, memory efficiency determines the selection or abandon of nodes by the botmaster for the propagation of bots in an IoT infrastructure. Consequently, the node’s memory efficiency determined the spread of bots in the network and provides defense actors with an insight of the botmaster behavior for mitigation of the attack. Conventional botnet propagation and mitigation models did not consider the impact of node’s memory efficiency in the IoT platform. To address this gap, we build IoT-SIEF, a novel propagation model with forensic capability that will analyze command and control propagation behavior based on the perspective of the node’s memory efficiency. IoT-SIEF model used to explore the dynamics of propagation using numerical simulation with more than 50% outperform other models in mitigating the number of secondary bots. Consequently, it can serve as a basis for assisting the planning, design, and defense of such networks from the investigator's point of view.

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Energy and Memory Efficient Data Loss Prevention in Wireless Sensor Networks

Cited by 2 publications

References 12 publications

An Energy-Aware, Highly Available, and Fault-Tolerant Method for Reliable IoT Systems

An Energy-Aware, Highly Available, and Fault-Tolerant Method for Reliable IoT Systems

Modelling and Mitigation Strategy of IoT Botnet Propagation

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