Imposter Detection in Mobile Wireless Sensor Networks

Alrashed, Ebrahim; Karaata, Mehmet Hakan

doi:10.7763/ijcce.2014.v3.364

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…At the local SN's level, each unit depicted at the bottom of Figure 4 is a potential source of fault/failure, but the degree of prevalence is frequently accelerated whenever power consumption is mismanaged through the disregard of any of the network design requirements and deployment conditions presented in later sections. The different taxonomies of faults in the state-of-the-art of the WSN sublayer [45,72,[75][76][77][78][79], as illustrated on the left side of Figure 16, can be compared as follows:…”

Section: High-levelmentioning

confidence: 99%

“…Hard or permanent fault refers to the inability of a node to stay active and communicate due to resource exhaustion or component malfunction, while in soft or static faults, nodes continue to work and communicate with other nodes, but they sense, process, or transmit erroneous data [45,76].…”

Section: High-levelmentioning

confidence: 99%

“…Self-Adaptability and Scalability: Though WSNs are application-specific, the topological dynamism is inevitable due to node failures, node mobility, and scalable conditions. Therefore, the associated routing protocol and network architecture must adapt to these dynamic conditions using apt auto-reconfiguration and reactive multihop event routing techniques [45,46].…”

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confidence: 99%

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A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

Effah¹,

Thiaré²,

Wyglinski³

2023

Preprint

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This paper presents an in-depth contextualized tutorial on Agricultural IoT (Agri-IoT), covering the fundamental concepts, assessment of routing architectures and protocols, and performance optimization techniques via systematic survey and synthesis of related literature. The negative impacts of climate change and the increasing global population on food security and unemployment threats have motivated the adoption of the wireless sensor network (WSN)-based Agri-IoT as an indispensable underlying technology in precision agriculture and greenhouses to improve food production capacities and quality. However, most related Agri-IoT testbed solutions have failed to achieve their performance expectations due to the lack of an in-depth and contextualized reference tutorial that provides a holistic overview of communication technologies, routing architectures, and performance optimization modalities based on users’ expectations. Thus, although IoT applications are founded on a common idea, each use case (e.g., Agri-IoT) varies based on specific performance and users expectations as well as its technological, architectural, and deployment requirements. Likewise, the agricultural setting is a unique and hostile area where conventional IoT technologies do not apply, hence the need for this tutorial. Consequently, this tutorial addresses these via the following contributions: (1) a systematic overview of the fundamental concepts, technologies, and architectural standards of WSN-based Agri-IoT, (2) an evaluation of the technical design requirements of a robust, location-independent, and affordable Agri-IoT, (3) a comprehensive survey of the benchmarking fault tolerance techniques, communication standards, routing and medium access control (MAC) protocols, and WSN-based Agri-IoT testbed solutions, and (4) an in-depth case study on how to design a self-healing, energy-efficient, affordable, adaptive, stable, autonomous, and cluster-based WSN-specific Agri-IoT from a proposed taxonomy of multi-objective optimization (MOO) metrics that can guarantee an optimized network performance. Furthermore, this tutorial established new taxonomies of faults, architectural layers, and MOO metrics for cluster-based Agri-IoT (CA-IoT) networks and a 3-tier objective framework with remedial measures for designing an efficient associated supervisory protocol for cluster-based Agri-IoT networks.

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Section: High-levelmentioning

confidence: 99%

Section: High-levelmentioning

confidence: 99%

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confidence: 99%

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A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

Effah¹,

Thiaré²,

Wyglinski³

2023

Preprint

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“…In UWSNs, UAVs can be effectively utilized for several different purposes such as deployment of sensor nodes [ 16 ], extension of communication range [ 17 ], and wireless power transfer in WSNs [ 18 ], data gathering from ground sensor nodes [ 19 ], maintaining connectivity [ 20 ], and localization of sensor nodes [ 21 ]. UWSNs are different from mobile WSNs where sensor nodes or sink may move [ 22 ]. In UWSNs, UAVs are used to receive data from sensor nodes directly, which greatly reduces the communication between sensor nodes and BS and saves the energy required for listening to neighbors.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient and Fast MAC Protocol in UAV-Aided Wireless Sensor Networks for Time-Critical Applications

Poudel

Moh

2020

Sensors

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Unmanned aerial vehicle (UAV)-aided wireless sensor networks (UWSNs) can be effectively used for time-critical sensing applications. UAVs can be used to collect the sensed data from sensors and transfer them to a base station. The real-time transfer of data is highly desired in the time-critical applications. However, the medium access control (MAC) protocols designed for UWSNs so far are primarily focused on the efficient use of UAVs to collect data in the sensing areas. In this paper, we propose an energy-efficient and fast MAC (EF-MAC) protocol in UWSNs for time-critical sensing applications. EF-MAC adopts carrier sense multiple access (CSMA) for the registration of sensor nodes with a UAV and time division multiple access (TDMA) with variable slot time for the transmission of collected data. The UAV is equipped with two transceivers to minimize both energy consumption and delay in air-to-ground communication. The energy consumption and delay are formally analyzed and the performance of EF-MAC is evaluated via extensive simulation. The simulation results show that the proposed EF-MAC outperforms the conventional MAC protocols in terms of energy efficiency and communication delay.

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Preventing Node Replication Attack in Mobile Wireless Sensor Networks

Singh

Gupta

2017

Information and Communication Technology for Sustainable Development

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Imposter Detection in Mobile Wireless Sensor Networks

Cited by 7 publications

References 8 publications

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

Energy-Efficient and Fast MAC Protocol in UAV-Aided Wireless Sensor Networks for Time-Critical Applications

Preventing Node Replication Attack in Mobile Wireless Sensor Networks

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