Energy-efficient and balanced routing in low-power wireless sensor networks for data collection

Navarro, Miguel; Liang, Yao; Zhong, Xiaoyang

doi:10.1016/j.adhoc.2021.102766

Cited by 15 publications

(2 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Network Simulator Tool Version 2.34 was employed to execute the simulations to find the performance of proposed protocol at various node speeds. 35,36 In this simulation, 250 nodes were deployed in the random mobility model. A constant bit rate was set to 5 packets/s with 80 bits packet size.…”

Section: Resultsmentioning

confidence: 99%

An improved optimal energy aware data availability approach for secure clustering and routing in wireless sensor networks

Roberts¹,

Thangavel²

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Maintaining high residual energy is one of the major challenges of wireless sensor networks (WSNs), where nodes are moving at a random speed. In addition, data availability is also a major concern that must be maintained constantly during the packet transmission phase. In this research work, a Residual‐Energy‐Based Data Availability Approach (REDAA) for WSNs is developed to increase the network lifetime by focusing on the selection of stable routing paths and cluster heads. During the first phase of the work, the network model, and assumptions for route creations are adopted to effectively initialize the data transmission phase. During the second phase, a cluster was formed, and two categories of cluster heads were created based on quadrature low energy adaptive clustering hierarchy (Q‐LEACH) and multi‐hop low energy adaptive clustering (MH‐LEACH) algorithms to formalize the route and to make data available whenever requested. During the third phase, energy conservation routes are initialized, and data gathering is improved through slot‐based code division multiple access schemes. Simulation results demonstrate that the proposed REDAA approach can achieve an improvement in terms of throughput and energy consumption by 37% and 70% respectively when compared to MH‐LEACH approach, whereas in comparison to Q‐LEACH approach, these improvements are found to be 30% and 73% respectively.

show abstract

Section: Resultsmentioning

confidence: 99%

An improved optimal energy aware data availability approach for secure clustering and routing in wireless sensor networks

Roberts¹,

Thangavel²

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…Cluster-tree networks, a central component of the Internet of Things (IoT), can help collect data and obtain insights for real-time applications [1], [2]. The network arranged in a tree topology for cluster-tree networks can simplify the routing process and support various applications, such as data fusion and query processing within the network [3], [4].…”

Section: A Motivation and Problem Statementmentioning

confidence: 99%

A New Abnormal Node Detection Method With Dynamic Hoeffding Test

Huangfu

Zhou

Zhang

2022

IEEE Wireless Commun. Lett.

View full text Add to dashboard Cite

This paper presents a novel probabilistic detection scheme called Cooperative Statistical Detection (CSD) for abnormal node detection while defending against adversarial attacks in cluster-tree networks. The CSD performs a two-phase process: 1) designing a likelihood ratio test (LRT) for a non-root node at its children from the perspective of packet loss; 2) making an overall decision at the root node based on the aggregated detection data of the nodes over tree branches. In most adversarial scenarios, malicious children knowing the detection policy can generate falsified data to protect the abnormal parent from being detected or frame its normal parent as an anomalous node. To resolve this issue, a modified Z-score-based falsification-resistant mechanism is presented in the CSD to remove untrustworthy information. Through theoretical analysis, we show that the LRTbased method achieves perfect detection, i.e., both the false alarm and missed detection probabilities decay exponentially to zero. Furthermore, the optimal removal threshold of the modified Zscore method is derived for falsifications with uncertain strategies and guarantees perfect detection of the CSD. As our simulation results show, the CSD approach is robust to falsifications and can rapidly reach 99% detection accuracy, even in existing adversarial scenarios, which outperforms state-of-the-art technology.

show abstract

Data aggregation algorithm based on clustering for wireless sensor networks

Zhai

Yang

et al. 2022

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Energy-efficient and balanced routing in low-power wireless sensor networks for data collection

Cited by 15 publications

References 70 publications

An improved optimal energy aware data availability approach for secure clustering and routing in wireless sensor networks

An improved optimal energy aware data availability approach for secure clustering and routing in wireless sensor networks

A New Abnormal Node Detection Method With Dynamic Hoeffding Test

Data aggregation algorithm based on clustering for wireless sensor networks

Contact Info

Product

Resources

About