Time-Delay Estimation and Finite-Spectrum Assignment for Control Over Multi-Hop WSN

Witrant, Emmanuel; Park, Pangun; Johansson, Mikael

doi:10.1007/978-1-4419-7393-1_6

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…Witrant et al studied time delay estimation for control over de Multi-hops WSN [8]. Another approach in this way was discussed in [9] considering the balance of power consumption for all sensor nodes in two-dimensional randomly deployed WSNs.…”

Section: Related Workmentioning

confidence: 98%

Time delay performance analysis of sensor allocation strategies on a WSN

Abbasy

Barrantes

Marín

2011

Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief

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In many of query-based WSN applications, response time factor is an essential issue. Overall performance under different sensor placements depends on the pattern of queries requested from the network, which in turn might depend on the physical segmentation of the field. This paper explores three predefined configurations in order to compare the time delay performance. The experiments showed that the Uniform distribution of the nodes was the strategy that obtains the fastest response time, and as expected, Random is the one with the slowest.

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Section: Related Workmentioning

confidence: 98%

Time delay performance analysis of sensor allocation strategies on a WSN

Abbasy

Barrantes

Marín

2011

Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief

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“…If the MAC protocol retransmits the packet, the round trip time estimation error will increase significantly. [54]. They observed that the average end-to-end network induced delay for a two-hop and four-hop WSN are 70ms and 150ms respectively.…”

Section: Network Layer Delaymentioning

confidence: 99%

A Robust User Authentication Scheme for Wireless Sensor Network

Ali¹

2021

Preprint

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The primary requirements of a secure Wireless Sensor Network architecture are confidentiality, integrity and authentication of users and other participating entities. User Authentication for wireless sensor networks is a fundamental and important issue in designing dependable and secure systems. In this thesis, we have outlined the security model, functional requirements, assumptions and network setup for an authentication scheme in the first phase. Keeping in mind the security requirements as well as the flaws of past authentication schemes, we propose a robust user authentication method that inherits user anonymity, mutual authentication and password changing functionality of previous password-based schemes and improves security by resisting gateway bypass and replay attack, and many logged in user with the same ID threat. Our scheme is a variant of strong password based schemes that does not require strict network synchronization. In the second phase of the thesis, we have analysed our authentication scheme from the perspective of security issues and functional requirements. The proposed scheme is modelled in SystemC. It is evaluated in different attack scenarios. The authentication latency, memory and functional requirements, and computational overhead are the metrics used to evaluate the scheme. The effect of multiple users on authentication latency in our scheme is also studied. Some of the past representative schemes have also been modelled and evaluated in the same environment. A detailed comparison of over-head cost, authentication latency and security features are provided in this thesis. It is verified and confirmed by modeling that our scheme provides enhanced security without adding extra computation at the sensor node.

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“…Witrant et al [29] stated that the delay is random and increases with an increase number of hops between the sensor node and the fusion node. Their experiment was based on the Breath protocol using Tmote nodes.…”

Section: Effect Of Communication Delaymentioning

confidence: 99%

Energy-efficient data acquisition for accurate signal estimation in wireless sensor networks

Merrett

White

2013

J Wireless Com Network

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Long-term monitoring of an environment is a fundamental requirement for most wireless sensor networks. Owing to the fact that the sensor nodes have limited energy budget, prolonging their lifetime is essential in order to permit long-term monitoring. Furthermore, many applications require sensor nodes to obtain an accurate estimation of a point-source signal (for example, an animal call or seismic activity). Commonly, multiple sensor nodes simultaneously sample and then cooperate to estimate the event signal. The selection of cooperation nodes is important to reduce the estimation error while conserving the network's energy. In this paper, we present a novel method for sensor data acquisition and signal estimation, which considers estimation accuracy, energy conservation, and energy balance. The method, using a concept of 'virtual clusters,' forms groups of sensor nodes with the same spatial and temporal properties. Two algorithms are used to provide functionality. The 'distributed formation' algorithm automatically forms and classifies the virtual clusters. The 'round robin sample scheme' schedules the virtual clusters to sample the event signals in turn. The estimation error and the energy consumption of the method, when used with a generalized sensing model, are evaluated through analysis and simulation. The results show that this method can achieve an improved signal estimation while reducing and balancing energy consumption.

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Time-Delay Estimation and Finite-Spectrum Assignment for Control Over Multi-Hop WSN

Cited by 4 publications

References 22 publications

Time delay performance analysis of sensor allocation strategies on a WSN

Time delay performance analysis of sensor allocation strategies on a WSN

A Robust User Authentication Scheme for Wireless Sensor Network

Energy-efficient data acquisition for accurate signal estimation in wireless sensor networks

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