On the Influence of the Propagation Channel in the Performance of Energy-Efficient Geographic Routing Algorithms for Wireless Sensor Networks (WSN)

Padilla, Pablo; Camacho, José; Maciá‐Fernández, Gabriel; Díaz-Verdejo, Jesús E.; García-Teodoro, Pedro; Gómez-Calero, C.

doi:10.1007/s11277-012-0676-5

Cited by 15 publications

(8 citation statements)

References 22 publications

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“…Sha et al studied the influence of the features of the propagation channel in the performance of energyefficient routing algorithms for wireless sensor networks. Considering that the propagation channel may affect the efficiency of the different energy-efficient routing algorithms, different propagation scenarios are proposed in this work, from the most simplistic free-space propagation model to more complex ones [17].…”

Section: Related Workmentioning

confidence: 99%

Traffic Load Constrained Routing Algorithm for Wireless Sensor Networks

Deng¹

2014

JNW

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As the traffic load control is very important for the task scheduling in wireless sensor networks, this paper discusses how to design an effective routing algorithm for wireless sensor networks with traffic load constrained. Firstly, internal structure of a sensor node in wireless sensor networks is analyzed. Secondly, how to design an effective traffic load constrained routing algorithm for wireless sensor networks based on the hybrid multi-hop mode is discussed. In the proposed algorithm, the depth potential field and queue length field are defined, and then we integrate them through linear combination. Afterwards, we utilize a structure which is made up of real numbers to represent the chromosomes, and then achieve the traffic load constrained routing decision with based on the genetic algorithm. To avoid traffic congestion, the proposed algorithm can distribute the concentrated traffic to the available neighbor sensor nodes. Finally, simulations are conducted to make performance. Compared with other existing routing algorithm, the proposed can effectively make the routing decision for wireless sensor networks without traffic congestion.

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Section: Related Workmentioning

confidence: 99%

Traffic Load Constrained Routing Algorithm for Wireless Sensor Networks

Deng¹

2014

JNW

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“…For this, a multihop routing scheme can be used so that the range of wireless communications is reduced as much as possible while the overall connectivity is maintained. Most of the existing routing algorithms are static, that is, the same routes from origin to destination are used throughout the WSN operation time, provided that the network conditions are sustained over time [31].…”

Section: Variable Routing Strategies For Multi-hop Transmissionsmentioning

confidence: 99%

Tampered Data Recovery in WSNs through Dynamic PCA and Variable Routing Strategies

Magán-Carrión¹,

Pulido-Pulido²,

Camacho³

et al. 2013

JCM

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Wireless sensor networks (WSNs) are highly sensible to data integrity attacks, which have an important impact on a number of relevant deployments and services. This paper introduces a tolerance approach to fight against data modification attacks in WSNs, which is based on a missing data imputation scheme. The proposal relies on two principal contributions: (1) a multivariate statistical technique where the dynamics of the sensor measurements for the monitored area are captured through the use of dynamic PCA (DPCA), and (2) a variable routing strategy that improves the recovering performance by spreading the effects of the data tampering attack. On the other hand, a complementary multivariate statistical anomaly detection module is implemented to determine the occurrence of data tampering attacks and trigger the subsequent reaction procedure to recover the affected data. As shown by the results obtained, the proposed tolerance approach improves the robustness of a WSN against data tampering attacks, and so its survivability and normal operation over time. 

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“…In clustering, the entire region is separated into different cluster sensing areas. Then, for a particular sensing area a single cluster head is chosen and it transmits the information to the centralized BS [15,16]. A hierarchical routing mechanism is performed between the cluster member and the cluster head.…”

Section: Introductionmentioning

confidence: 99%

Grey Wolf Optimization Based Energy Efficiency Management System for Wireless Sensor Networks

Pratha

Asanambigai

Mugunthan³

2021

Preprint

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Wireless Sensor Networks (WSN) is the fundamental technology for the Internet of Things (IoT). It is a network formed from several sensor nodes to sense the changes in the environment. The nodes are battery powered that performs sensing and transmission of information to other nodes in the network. Thus, the energy of the sensor node plays a crucial role in WSN. Thus, intelligent models are anticipated to solve the network problems by optimizing or minimizing the mechanism inorder to improve the energy efficiency. In this paper, a combined meta-heuristic approach called Grey Wolf Optimization based Game theoretical Approach (GWOGA) is proposed that helps for clustering to find the best solutions for selection of aggregation points and this optimal selection of aggregation points lead the nodes to maximize its battery/lifetime. Experimental and simulation analysis shows that the GWOGA outperforms the existing models and retains the lifetime of the network.

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On the Influence of the Propagation Channel in the Performance of Energy-Efficient Geographic Routing Algorithms for Wireless Sensor Networks (WSN)

Cited by 15 publications

References 22 publications

Traffic Load Constrained Routing Algorithm for Wireless Sensor Networks

Traffic Load Constrained Routing Algorithm for Wireless Sensor Networks

Tampered Data Recovery in WSNs through Dynamic PCA and Variable Routing Strategies

Grey Wolf Optimization Based Energy Efficiency Management System for Wireless Sensor Networks

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