Quantum inspired genetic algorithm for multi-hop energy balanced unequal clustering in wireless sensor networks

Rathee, Manisha; Kumar, Sushil

doi:10.1109/ic3.2016.7880239

Cited by 10 publications

(2 citation statements)

References 14 publications

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“…Clustered-based WSNs are also scalable since the number of nodes implies a higher number of clusters but transmissions remain local. In Rathee and Kumar 25 and Tsai et al’s study, 26 quantum-based genetic/evolutionary algorithms are also used, but in this case, focused on achieving efficient cluster formation. The advantages of using the quantum-based algorithm are that it introduces parallel processing to the genetic algorithm reducing the computational cost of finding the optimal clustering configuration in terms of selecting the appropriate CHs and CMs, increasing the system lifetime.…”

Section: Quantum Philosophy To Design Wsnsmentioning

confidence: 99%

Quantum-based wireless sensor networks: A review and open questions

Rivero-Ángeles

2021

International Journal of Distributed Sensor Networks

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Applications of quantum computing are growing at a very fast pace, for example, from quantum computers to quantum algorithms and even to the development of the quantum Internet. However, the use of quantum technology in wireless sensor networks has not been thoroughly investigated just yet. This is in part due to the complexity of using big, costly, and highly energy-consuming machines that are quantum computers to this date, compared to the nodes used in wireless sensor networks which are small, inexpensive, and operate with very low energy consumption requirements. However, we can expect that in the future (possibly in the next decade) quantum computers will be commercial and reduced in size, and hence, they can be used for sensor network applications which are the basis of the Internet of Things. In this review, we study the road from quantum computing to quantum wireless sensor networks and how the analysis and design of these systems have to change to accommodate quantum capabilities in sensors, processors, communication links, and overall performance of these monitoring networks.

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Section: Quantum Philosophy To Design Wsnsmentioning

confidence: 99%

Quantum-based wireless sensor networks: A review and open questions

Rivero-Ángeles

2021

International Journal of Distributed Sensor Networks

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“…It follows that SNs and mobile botnets share common goals: lifetime prolonging, coverage extension, seamless integration, and high reliability. Since data communication is basically an energy-intensive activity, the distribution of communication load among sensors contributes to their energy-consuming equilibration [14]. Currently, there are many existing works [15][16][17][18][19] with respect to clustering nodes to balance energy depletion and extending network lifetime further.…”

Section: Related Workmentioning

confidence: 99%

Gleer: A Novel Gini‐Based Energy Balancing Scheme for Mobile Botnet Retopology

Wang

Zhang

et al. 2018

Wireless Communications and Mobile Computing

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Mobile botnet has recently evolved due to the rapid growth of smartphone technologies. Unlike legacy botnets, mobile devices are characterized by limited power capacity, calculation capabilities, and wide communication methods. As such, the logical topology structure and communication mode have to be redesigned for mobile botnets to narrow energy gap and lower the reduction speed of nodes. In this paper, we try to design a novel Gini-based energy balancing scheme (Gleer) for the atomic network, which is a fundamental component of the heterogeneous multilayer mobile botnet. Firstly, for each operation cycle, we utilize the dynamic energy threshold to categorize atomic network into two groups. Then, the Gini coefficient is introduced to estimate botnet energy gap and to regulate the probability for each node to be picked as a region C&C server. Experimental results indicate that our proposed method can effectively prolong the botnet lifetime and prevent the reduction of network size. Meanwhile, the stealthiness of botnet with Gleer scheme is analyzed from users’ perspective, and results show that the proposed scheme works well in the reduction of user’ detection awareness.

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