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Sink Node Placement and Partial Connectivity in Wireless Sensor Networks.

¹Computer Science and Information Systems, Bradley University, Peoria, IL 61625, USA.

Sensors (Basel, Switzerland)

|November 25, 2023

Summary

This summary is machine-generated.

Sink node placement significantly impacts Wireless Sensor Networks (WSNs) connectivity. Partial connectivity and sensor connection rate are better metrics than full connectivity for WSNs, optimizing resource conservation.

Keywords:

full connectivity partial connectivity sensor connection rate sink placement wireless sensor networks

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Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Wireless Sensor Networks (WSNs) face challenges in communication and connectivity.
The sink node's role, placement, and network resource conservation are critical for WSN performance.
Application-specific requirements, including delay sensitivity (hmax), influence network design.

Purpose of the Study:

To analyze communication and connectivity issues in random WSNs.
To evaluate the impact of sink node placement on network connectivity and sensor connection rate.
To compare partial and full connectivity as performance metrics for WSNs.

Main Methods:

Mathematical modeling and theoretical analysis.
Simulation evaluations of random WSNs.
Derivation and comparison of partial and full connectivity probabilities based on network parameters and hmax.

Main Results:

Sink node placement critically affects WSN connectivity; moving it from the center to the periphery reduced the sensor connection rate from 98.8% to 72.5%.
Partial connectivity and sensor connection rate are more effective metrics for assessing WSN communication capabilities than full connectivity.
Connecting remote sensors requires significantly more energy; connecting less than 4% of remote sensors increased energy needs by 1.367 times.
Achieving a marginal increase in sensor connection rate (96% to 100%) demands a substantial energy increase (538%) in multipath fading environments.

Conclusions:

Sink node placement is a crucial design parameter for optimizing WSN connectivity and resource usage.
Partial connectivity and sensor connection rate provide a more realistic assessment of WSN performance.
Significant energy overhead is associated with achieving high connectivity rates, especially for remote sensors, necessitating careful design trade-offs.