Experimental Validation of IEEE 802.11ah Propagation Models in Heterogeneous Smarty City Environments

Koninck, Tobia De; Santi, Sintha Soraya; Famaey, Jeroen; Lemić, Filip

doi:10.1109/globecom42002.2020.9347994

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…The considered range of path loss exponent values are from n = 2 to n = 4 with a step size of 0.5. This is because, as per previous studies, path loss exponent varies between these values for ICWSNs in heterogeneous smart cities[73,80]. Simulations in Table5.3 confirm the analysis of(5.15).…”

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confidence: 83%

Cluster-Based Information-Centric Wireless Sensor Networks Management for Enhanced User Security Satisfaction in the Internet of Things

Gharib¹

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Many Internet of Things applications, such as smart cities and intelligent transportation, require accessible data to users (i.e., data consumers). To address users' timely data access needs, Information-Centric Wireless Sensor Networks (ICWSNs) were proposed that allow users to access data directly from cache nodes. Particularly, ICWSNs are clustered, and Cluster Heads (CHs) are selected to collect data from basic sensing nodes and act as cache nodes. Nevertheless, clustering and ensuring data security in ICWSNs is challenging. This is because sensor nodes are often resource-constrained, heterogeneous (i.e., perform different sensing tasks), and/or mobile.Driven by users' security and timely data access needs, in this thesis, cluster-based ICWSNs' management for enhanced user security satisfaction is investigated. First, a security-aware CHs selection algorithm is proposed to optimize network coverage that is subject to security and energy constraints. Then, cluster-based ICWSNs with heterogeneous communities are modeled analytically and compared to conventional cluster-based ICWSNs with heterogeneous sensor nodes. To overcome the identified energy-latency and security trade-off, a Security Level Aware algorithm for Clusterbased ICWSNs with Heterogeneous communities (SLAC-H) is proposed. In SLAC-H, community leaders collect and forward application-domain-specific data to CHs. Next, Node Embedding with Security Resource Allocation (NESRA) clustering algorithm for mobile ICWSNs is proposed. To improve user security satisfaction, NESRA allocates security resources to sensor nodes based on their location, mobility, and energy resources. Still, when security is set as a priority, many times, more energy is spent on security than is actually required. Therefore, along with the mobility-aware NESRA, User-aware clustering with Security Resource Allocation (USRA) algorithm is proposed. In USRA, a sink node determines which security resource each sensor node will be using for the next round to avoid over-utilization of network resources while satisfying user security needs. A summary of the proposed algorithms and some highlights for future work conclude this thesis. List of Publications List of References viii List of Tables 4.1 Security levels mapping based on the security mechanism used [65]. .

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confidence: 83%

Cluster-Based Information-Centric Wireless Sensor Networks Management for Enhanced User Security Satisfaction in the Internet of Things

Gharib¹

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Heterogeneous Cluster-Based Information-Centric Sensor Networks With User Security Satisfaction

Gharib

Ibnkahla

2023

IEEE Internet Things J.

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Location-Based Discovery and Network Handover Management for Heterogeneous IEEE 802.11ah IoT Applications

Santi

Lemić

Famaey

2022

IEEE Trans. Netw. Serv. Manage.

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Experimental Validation of IEEE 802.11ah Propagation Models in Heterogeneous Smarty City Environments

Cited by 3 publications

References 10 publications

Cluster-Based Information-Centric Wireless Sensor Networks Management for Enhanced User Security Satisfaction in the Internet of Things

Cluster-Based Information-Centric Wireless Sensor Networks Management for Enhanced User Security Satisfaction in the Internet of Things

Heterogeneous Cluster-Based Information-Centric Sensor Networks With User Security Satisfaction

Location-Based Discovery and Network Handover Management for Heterogeneous IEEE 802.11ah IoT Applications

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