What question did this study set out to answer?

Develop an energy-efficient, deterministic routing framework for static heterogeneous wireless sensor networks to mitigate energy imbalance and scalability bottlenecks.

August 29, 2025Journal of Cloud Computing Advances Systems and ApplicationsOpen Access

Energy-efficient adaptive routing in heterogeneous wireless sensor networks via hybrid PSO and dynamic clustering

View Full Paper

Ask AI

Bookmark

Authors

YZYang Zhang LYLing Yang TYTan Yan

Discussion

Member takes

Overview

Experimental study demonstrates reduced energy consumption and extended network lifespan in heterogeneous wireless sensor networks, highlighting viable dynamic routing for edge computing devices.

Key Points

Develop an energy-efficient, deterministic routing framework for static heterogeneous wireless sensor networks to mitigate energy imbalance and scalability bottlenecks.
Engineered an Improved Particle Swarm Optimization (IPSO) algorithm using cosine-modulated inertia weights and dynamic learning factors to balance exploration and exploitation.
Designed a hybrid single-hop and multi-hop routing protocol driven by real-time energy gradients, node density distributions, and node-specific residual energy.
Assessed protocol performance against LEACH baseline protocols and validated edge compatibility using a Raspberry Pi 4B hardware testbed.
Reduced per-round energy consumption by 32.7% compared to the baseline LEACH protocol.
Extended network lifespan by 28% using the first-node-death metric and decreased cross-node energy variance by 63%.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/6a165d66fdc87ecfc07bfcd2 https://doi.org/10.1186/s13677-025-00768-3

View Full Paper

Ask AI

Bookmark

August 29, 2025Journal of Cloud Computing Advances Systems and ApplicationsOpen Access

Energy-efficient adaptive routing in heterogeneous wireless sensor networks via hybrid PSO and dynamic clustering

View Full Paper

Ask AI

Bookmark

Authors

YZYang Zhang LYLing Yang TYTan Yan

Discussion

Member takes

Overview

Experimental study demonstrates reduced energy consumption and extended network lifespan in heterogeneous wireless sensor networks, highlighting viable dynamic routing for edge computing devices.

Key Points

Develop an energy-efficient, deterministic routing framework for static heterogeneous wireless sensor networks to mitigate energy imbalance and scalability bottlenecks.
Engineered an Improved Particle Swarm Optimization (IPSO) algorithm using cosine-modulated inertia weights and dynamic learning factors to balance exploration and exploitation.
Designed a hybrid single-hop and multi-hop routing protocol driven by real-time energy gradients, node density distributions, and node-specific residual energy.
Assessed protocol performance against LEACH baseline protocols and validated edge compatibility using a Raspberry Pi 4B hardware testbed.
Reduced per-round energy consumption by 32.7% compared to the baseline LEACH protocol.
Extended network lifespan by 28% using the first-node-death metric and decreased cross-node energy variance by 63%.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/6a165d66fdc87ecfc07bfcd2 https://doi.org/10.1186/s13677-025-00768-3

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark