Cargando…

Sink Node Placement and Partial Connectivity in Wireless Sensor Networks †

This research delves into the aspects of communication and connectivity problems within random Wireless Sensor Networks (WSNs). It takes into account the distinctive role of the sink node, its placement, and application-specific requirements for effective communication while conserving valuable netw...

Descripción completa

Detalles Bibliográficos
Autor principal: Wang, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674954/
https://www.ncbi.nlm.nih.gov/pubmed/38005446
http://dx.doi.org/10.3390/s23229058
Descripción
Sumario:This research delves into the aspects of communication and connectivity problems within random Wireless Sensor Networks (WSNs). It takes into account the distinctive role of the sink node, its placement, and application-specific requirements for effective communication while conserving valuable network resources. Through mathematical modeling, theoretical analysis, and simulation evaluations, we derive, compare, and contrast the probabilities of partial and full connectivity within a random WSN, factoring in network parameters and the maximum allowable hop distance/count [Formula: see text]. [Formula: see text] captures the diverse range of delay-sensitive requirements encountered in practical scenarios. Our research underscores the significant impact of the sink node and its placement on network connectivity and the sensor connection rate. The results exemplify a noteworthy decline in the sensor connection rate, dropping from [Formula: see text] to [Formula: see text] , upon relocating the sink node from the network center to the periphery. Moreover, as compared with full connectivity, partial connectivity and the sensor connection rate are more suitable metrics for assessing the communication capability of random WSNs. The results illustrate that [Formula: see text] times more energy is required to connect less than [Formula: see text] of the remote sensors, based on the examined network settings. Additionally, to increase the sensor connection rate slightly from [Formula: see text] to [Formula: see text] , an additional [Formula: see text] more energy is required in multipath fading based on the widely adopted energy consumption model. This research and its outcomes contribute to establishing appropriate performance metrics and determining critical network parameters for the practical design and implementation of real-world wireless sensor networks.