[Paper Review] Modeling Overall Energy Consumption in Wireless Sensor Networks

Najmeh Kamyabpour, Doan B. Hoang|arXiv (Cornell University)|Dec 8, 2010

Green IT and Sustainability35 citations

TL;DR

This paper proposes a unified energy consumption model for wireless sensor networks (WSNs) that integrates all major energy constituents into a single, optimized formulation. By leveraging the Hierarchy Energy Driven Architecture, the model enables holistic performance evaluation, operation optimization, and energy-efficient application design, with simulation results confirming its feasibility and effectiveness in reducing overall energy usage.

ABSTRACT

Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. Optimizing a specific component of the total energy cost does not help in reducing the total energy cost as this reduction may be negated by an increase in the energy consumption of other components of the application. Recently we proposed Hierarchy Energy Driven Architecture as a robust architecture that takes into account all principal energy constituents of wireless sensor network applications. Based on the proposed architecture, this paper presents a single overall model and proposes a feasible formulation to express the overall energy consumption of a generic wireless sensor network application in terms of its energy constituents. The formulation offers a concrete expression for evaluating the performance of a wireless sensor network application, optimizing its constituent’s operations, and designing more energy-efficient applications. The paper also presents simulation results to demonstrate the feasibility of our model and energy formulation.

Motivation & Objective

• Address the lack of a comprehensive energy cost function for optimizing overall energy consumption in wireless sensor network (WSN) applications.
• Overcome the limitation of component-level optimization, which may increase total energy use due to trade-offs across system components.
• Develop a unified framework that accounts for all principal energy constituents in WSN applications to enable system-wide energy efficiency.
• Provide a concrete, analyzable formulation for evaluating and optimizing energy usage across the entire application lifecycle.

Proposed method

• Adopt the Hierarchy Energy Driven Architecture as the foundational framework to systematically categorize and model all major energy constituents in WSN applications.
• Formulate a single, unified energy cost function that aggregates individual energy components (e.g., sensing, processing, communication, idle states) into one comprehensive expression.
• Define the overall energy consumption as a function of application-specific parameters such as sampling rate, data transmission frequency, and processing load.
• Use mathematical modeling to express energy consumption across different operational phases of the WSN, enabling analytical optimization.
• Validate the model through simulations to assess its accuracy and feasibility in real-world application scenarios.
• Ensure the formulation supports both performance evaluation and design-time optimization of energy-efficient WSN applications.

Experimental results

Research questions

• RQ1 How can all principal energy constituents in a WSN application be systematically modeled and integrated into a single overall energy cost function?
• RQ2 To what extent does component-level energy optimization fail to reduce total system energy consumption due to interdependencies?
• RQ3 Can a unified energy formulation be derived that enables holistic optimization of WSN applications beyond isolated subsystems?
• RQ4 How feasible is the proposed model in accurately representing real-world energy consumption patterns in WSNs?

Key findings

• The proposed model successfully integrates all major energy constituents of a WSN application into a single, analyzable energy formulation.
• The formulation enables accurate evaluation of application performance and identification of energy bottlenecks across system components.
• Optimization based on the unified model leads to more effective energy savings than component-wise tuning, as it accounts for cross-component energy trade-offs.
• Simulation results demonstrate the feasibility and practicality of the model in representing and guiding energy-efficient WSN design.
• The model provides a robust foundation for designing future WSN applications with improved energy efficiency and extended operational lifetime.