Abstract

Designing low power sensor networks has been the general goal of design engineers, scientist and end users. It is desired to have a wireless sensor network (WSN) that will run on little power (if possible, none at all) thereby saving cost, and the inconveniences of having to replace batteries in some difficult to access areas of usage. Previous researches on WSN energy models have focused less on the aggregate transceiver energy consumption models as compared to studies on other components of the node, hence a large portion of energy in a WSN still get depleted through data transmission. By studying the energy consumption map of the transceiver of a WSN node in different states and within state transitions, we propose in this paper the energy consumption model of the transceiver unit of a typical sensor node and the transceiver design parameters that significantly influences this energy consumption. The contribution of this paper is an innovative energy consumption model based on simple finite automata which reveals the relationship between the aggregate energy consumption and important power parameters that characterize the energy consumption map of the transceiver in a WSN; an ideal tool to design low power WSN.

Highlights

  • The emerging field of wireless sensor networks (WSN) creates a new and interesting paradigm in the way we interact with our environment

  • It is desired to have a wireless sensor network (WSN) that will run on little power thereby saving cost, and the inconveniences of having to replace batteries in some difficult to access areas of usage

  • Previous researches on WSN energy models have focused less on the aggregate transceiver energy consumption models as compared to studies on other components of the node, a large portion of energy in a WSN still get depleted through data transmission

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Summary

Introduction

The emerging field of wireless sensor networks (WSN) creates a new and interesting paradigm in the way we interact with our environment. Energy consumption is a requirement for all the components of the WSN node to work, and since a wireless sensor node is typically battery operated, it is energy constrained. In order to design a low power WSN, it is important to understand the power dissipation characteristics of the sensor node and the energy consumption metrics of the network as a whole. There are wide ranges of choices of parameters and trade-offs necessary when designing WSN node and making the optimal choices of components and design considerations goes a long way to affect the energy consumption and longevity of such a network. Before concluding our approach and presenting some prospects for our model, we discuss in Section 4 the various transceiver parameters of significance that determines the energy budget when designing low power wireless sensor nodes

Proposed Energy Models
Mathematical Abstraction
Transmit State
Transition States
Simulation Using Proposed Energy Model
Transceiver Parameters of Consideration
Transmission Range
Transmission Rates
Transmission States
Findings
Conclusion
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