Design, Analysis and Performance Evaluation of Group Key Establishment in Wireless Sensor Networks

Chatzigiannakis, Ioannis; Konstantinou, Elisavet; Liagkou, Vasiliki; Spirakis, Paul G.

doi:10.1016/j.entcs.2006.11.007

Cited by 16 publications

(14 citation statements)

References 15 publications

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“…Due to the combination of low-power and short-range operational design, large-sized network deployment requires the combination of protocols that follow the multi-path approach [68] to achieve seamless and error-free message delivery. This approach provides a series of benefits like the ability to overcome obstacles in communication [69,70] and, most importantly, enhanced network security [71]. However, recent trials carried out in real-world wireless sensor networks have highlighted certain difficulties and limitations of the multi-hop, short-range connectivity paradigm [72].…”

Section: Deploying Low-power Long-range Networkmentioning

confidence: 99%

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

Amaxilatis¹,

Chatzigiannakis

Tselios

et al. 2020

Applied Sciences

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In this paper, we look into smart water metering infrastructures that enable continuous, on-demand and bidirectional data exchange between metering devices, water flow equipment, utilities and end-users. We focus on the design, development and deployment of such infrastructures as part of larger, smart city, infrastructures. Until now, such critical smart city infrastructures have been developed following a cloud-centric paradigm where all the data are collected and processed centrally using cloud services to create real business value. Cloud-centric approaches need to address several performance issues at all levels of the network, as massive metering datasets are transferred to distant machine clouds while respecting issues like security and data privacy. Our solution uses the fog computing paradigm to provide a system where the computational resources already available throughout the network infrastructure are utilized to facilitate greatly the analysis of fine-grained water consumption data collected by the smart meters, thus significantly reducing the overall load to network and cloud resources. Details of the system’s design are presented along with a pilot deployment in a real-world environment. The performance of the system is evaluated in terms of network utilization and computational performance. Our findings indicate that the fog computing paradigm can be applied to a smart grid deployment to reduce effectively the data volume exchanged between the different layers of the architecture and provide better overall computational, security and privacy capabilities to the system.

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Section: Deploying Low-power Long-range Networkmentioning

confidence: 99%

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

Amaxilatis¹,

Chatzigiannakis

Tselios

et al. 2020

Applied Sciences

Self Cite

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“…Due to this low-power and short-range mode of operation, deploying a large-sized network requires the use of communication protocols that deliver messages based on a multi-path approach [2]. Such a multi-path approach provides certain benefits, such as the capability to overcome communication obstacles [3,4], and the overall improvement of security of the network [5]. Experimentation over real-world wireless sensor networks has highlighted the difficulties and limitations of the multi-hop short-range paradigm [6].…”

Section: Introduction Related Work and Our Approachmentioning

confidence: 99%

Design and Analysis of Adaptive Hierarchical Low-Power Long-Range Networks

Amaxilatis

Chatzigiannakis

2018

JSAN

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A new phase of evolution of Machine-to-Machine (M2M) communication has started where vertical Internet of Things (IoT) deployments dedicated to a single application domain gradually change to multi-purpose IoT infrastructures that service different applications across multiple industries. New networking technologies are being deployed operating over sub-GHz frequency bands that enable multi-tenant connectivity over long distances and increase network capacity by enforcing low transmission rates to increase network capacity. Such networking technologies allow cloud-based platforms to be connected with large numbers of IoT devices deployed several kilometres from the edges of the network. Despite the rapid uptake of Long-power Wide-area Networks (LPWANs), it remains unclear how to organize the wireless sensor network in a scaleable and adaptive way. This paper introduces a hierarchical communication scheme that utilizes the new capabilities of Long-Range Wireless Sensor Networking technologies by combining them with broadly used 802.11.4-based low-range low-power technologies. The design of the hierarchical scheme is presented in detail along with the technical details on the implementation in real-world hardware platforms. A platform-agnostic software firmware is produced that is evaluated in real-world large-scale testbeds. The performance of the networking scheme is evaluated through a series of experimental scenarios that generate environments with varying channel quality, failing nodes, and mobile nodes. The performance is evaluated in terms of the overall time required to organize the network and setup a hierarchy, the energy consumption and the overall lifetime of the network, as well as the ability to adapt to channel failures. The experimental analysis indicate that the combination of long-range and short-range networking technologies can lead to scalable solutions that can service concurrently multiple applications.

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“…Many cluster-based schemes are similarly limited (for example, [12]) as they distribute authentication in a similar manner. Some deployments further generalise by using a single network key, leaving the entire network vulnerable if it is compromised [5].…”

Section: Related Workmentioning

confidence: 99%

“…Often keys are negotiated such that all nodes can securely communicate with all other nodes in the network [5]. We believe that for many scenarios this is not required and introduces unnecessary complexity.…”

Section: Introductionmentioning

confidence: 99%

DHB-KEY: An efficient key distribution scheme for wireless sensor networks

Chung

Roedig

2008

2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems

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Abstract-Real-world deployments of wireless sensor networks require secure communication. In many application cases it is sufficient to provide message authentication at the sink. To implement this requirement using symmetric ciphers, keys shared between each sensor node and the sink have to be established and kept fresh during network operation. This paper presents a key distribution scheme based on the well known Elliptic Curve Diffie-Hellman key exchange mechanism that allows us to fulfil the previously outlined requirements efficiently. The DHB-KEY scheme requires only the distribution of a single sink-initiated broadcast message to set individual keys on all sensor nodes. Thus, DHB-KEY has a low complexity and preserves scarce resources such as bandwidth and energy. In the paper we present a protocol specification based on the DHB-KEY scheme and its implementation for the well known TinyOS platform. A physical intrusion detection system in an office building is used to evaluate the protocol implementation. The evaluation shows that DHB-KEY is practical in real-world deployments.

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Design, Analysis and Performance Evaluation of Group Key Establishment in Wireless Sensor Networks

Cited by 16 publications

References 15 publications

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

Design and Analysis of Adaptive Hierarchical Low-Power Long-Range Networks

DHB-KEY: An efficient key distribution scheme for wireless sensor networks

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