Wireless Sensor Networks’ Challenges and Future Prospects

Patel, Nileshkumar R.; Kumar, Shishir

doi:10.1109/sysmart.2018.8746937

Cited by 38 publications

(11 citation statements)

References 25 publications

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“…We found several application fields in the literature and industrial fields, such as environmental monitoring [ 29 ], structural monitoring [ 30 ], and health-related applications [ 31 ], including wearable systems [ 32 ], early warning tools [ 33 , 34 ], and industrial control [ 35 ]. These deployments benefit from WSN applications, especially concerning installation accessibility and wiring constraint reduction [ 36 ], along with the possibility of an increase in overall cost effectiveness. New applications are enabled by WSNs, but on the other hand, the design is affected by several constraints that must be taken into consideration [ 37 , 38 ].…”

Section: State-of-the-art Overview Of Wireless Sensor Network For Mon...mentioning

confidence: 99%

Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review

Ragnoli,

Scarsella,

Leoni

et al. 2023

Sensors

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Rockfalls and landslide events are caused by different factors among which are included geomorphological and climatic factors and also human interaction. Therefore, the economic and social impacts can be significant and the remote monitoring of such hazards has become an essential topic in various applications. Wireless sensor networks (WSNs) are well suited for the deployment of monitoring systems, benefiting from the different technologies and topologies that are available and evolving nowadays. This review paper aims to summarize and overview the up-to-date state of the art of rockfall and landslide monitoring systems based on WSNs. The implementation and methods were analyzed for each solution, along with the system architecture and relevant hardware aspects. All the retrieved data were used to analyze the current trends and future possibilities in the field of WSN geohazard monitoring.

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Section: State-of-the-art Overview Of Wireless Sensor Network For Mon...mentioning

confidence: 99%

Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review

Ragnoli,

Scarsella,

Leoni

et al. 2023

Sensors

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“…The initiation of technologies in 5G and the internet of things (IoT) indicates the next signal of ubiquitous linked society [1]. In exacting, multimedia networks [2] and their continuing union with machine learning technologies are broadly predictable to get exciting services and applications for observing, pleasurable, training, and functioning in smart homes, smart cities, hills areas [3], healthcare and transportation [4]. Conventional security solutions may suffer from opponent attacks in composite multimedia transmission scenarios because of the rising count of multimedia sensors and the broad range of applications [5].…”

Section: Introductionmentioning

confidence: 99%

Bayesian decision model based reliable route formation in internet of things

Kumar,

Mishra,

Reddy

et al. 2024

IJEECS

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Security provisioning has become an important issue in wireless multimedia networks because of their crucial task of supporting several services. This paper presents Bayesian decision model based reliable route formation in internet of things (BDMI). The main objective of the BDMI approach is to distinguish unreliable sensor nodes and transmit the data efficiently. Active and passive attack recognition methods identify unreliable node sensor nodes. Remaining energy, node degree, and packet transmission rate parameters to observe their node possibilities for recognizing the passive unreliable nodes. In active recognition, the base station (BS) confirms every sensor node identity, remaining energy, supportive node rate, node location, and link efficiency parameters to detect active unreliable sensor nodes. The Bayesian decision model (BDM) efficiently isolates an unreliable sensor node in the multimedia network. Simulation outcomes illustrate that the BDMI approach can efficiently enhance unreliable node detection and minimize the packet loss ratio in the network.

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“…WSNs encounter a broad range of challenges related to energy efficiency, security, scalability, reliability, and quality of service [9] [10] [11]. One of the primary concerns is the limited bandwidth available for communication, which poses difficulties in transmitting significant amounts of data at high rates.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Slot Allocation Without Explicit Request Messages for Wireless Sensor Networks With Limited Resources

Lee,

Lee

2023

IEEE Access

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This paper presents a novel dynamic slot allocation algorithm for wireless sensor networks designed to overcome resource constraints. Our algorithm operates without explicit request messages and adapts the transmission period and data transmission amount according to changes in the monitored environment. As such, it addresses the challenge of allocating wireless resources efficiently and fairly while considering packet drop rate, transmission delay, channel status, and transmission opportunities. However, networks with limited resources can only collect and process some of the necessary information for optimal allocation. Therefore, our proposed scheme uses accumulative information on allocated resources instead of additional overhead information. Our algorithm outperforms the reservation-based resource allocation scheme in conditions where packet arrival rates change dynamically, which achieves over 15% improvement in terms of network throughput, indicating its suitability for networks operating under constrained resources.

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Wireless Sensor Networks’ Challenges and Future Prospects

Cited by 38 publications

References 25 publications

Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review

Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review

Bayesian decision model based reliable route formation in internet of things

Dynamic Slot Allocation Without Explicit Request Messages for Wireless Sensor Networks With Limited Resources

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