A Framework for Energy-Consumption-Based Design Space Exploration for Wireless Sensor Nodes

Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (Impact Factor: 1.2). 08/2009; 28(7):1017 - 1024. DOI: 10.1109/TCAD.2009.2018865
Source: IEEE Xplore

ABSTRACT In this paper, we first establish that, in wireless sensor networks, operating over ldquosmallrdquo distances, both computation energy and radio energy influence the battery life. In such a scenario, to evaluate the utility of error-correcting codes (ECCs) from an energy perspective, one has to consider the energy consumed in encoding-decoding and transmitting additional ldquoredundantrdquo bits vis-a-vis the energy saved due to coding gain. This paper presents a framework for evaluating various ECCs based on a comprehensive energy model of a sensor node. The framework supports exploration of sensor node design space with application- and deployment-related parameters, like distance, bit error rate, path loss exponent, as well as the modulation scheme and ECC parameters. The exploration results show that, as compared to the uncoded-data transmission, the energy-optimal ECC saves 15%-60% node energy for the given parameters.

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    ABSTRACT: Main research in focus nowadays in the area of wireless sensor networks (WSN) is optimizing solution of energy gain. Techniques for optimizing power usage in WSNs have been developed in this paper. The goal is achieved by exploiting a decrease in cross-over distance between error correcting coded (ECC) information signals and its un-coded version. A decrease in total energy gain is observed from the practical data acquisitioning. From analysis presented in this paper, the overall 22% energy gain in ECC coded data was observed with the theoretical analysis and results obtained using MATLAB. The modulation schemes under test were MPSK, MFSK and MQAM. Furthermore, the presented idea has opened ways for researchers to exploit other means to bring a decrease in cross-over distance so that further gain of energy in WSNs can be possible.
    Proceedings of the 2012 10th International Conference on Frontiers of Information Technology; 12/2012
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    ABSTRACT: Before the development of a large-scale wireless sensor network (WSN) infrastructure, it is necessary to create a model to evaluate the lifespan of the infrastructure, the system performance and the cost so that the best design solution can be obtained. Energy consumption is an important factor that influences the lifespan of WSNs. One of the ways to extend the lifespan of WSNs is to design wireless sensor nodes with low power consumption. This involves component selection and the optimisation of hardware architecture, monitoring software system and protocols to satisfy the requirements of the particular applications. This paper proposes a comprehensive model to describe the workflow of a wireless sensor node. Parameter setup and energy consumption calculation are demonstrated through the model simulation. It provides a mathematical approach to dynamically evaluate the energy consumption of a sensor node. This will benefit the development of wireless sensor nodes based on microprocessors with limited computational capability. Therefore, the model can be applied in dynamic power management systems for wireless sensor nodes or in wireless communication protocols with energy awareness, in particular, for WSNs with self-organisation. More importantly, the generalisation of the model may be employed as a standard paradigm for the development of wireless sensor node with energy awareness.
    Wireless Communications and Mobile Computing 12/2014; DOI:10.1002/wcm.2302 · 1.29 Impact Factor
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    ABSTRACT: Wireless sensor networks (WSNs) have very broad applications. The lifetime and performance of WSNs are dependent to a large extent on the limited energy resource of sensor nodes. Signal transmission is a major energy-consuming component. In this paper, we exploit adopting the low-complexity Chase (LCC) algebraic soft-decision Reed-Solomon (RS) decoders in WSNs. Compared to traditional hard-decision RS decoders, the LCC decoders can achieve significant coding gain. Hence, to reach the same error rate at the receiver, the LCC decoders allow more reduction on the signal transmission energy. In addition, the LCC decoders can be carefully designed so that their energy consumption is reduced. The LCC decoders for a variety of RS codes are synthesized using standard cell libraries, and power analysis is carried out. It is found that, compared to traditional hard-decision RS and BCH decoders, the LCC decoders lead to higher energy efficiency in WSNs when the signal transmission distance is not short.
    Circuits and Systems (APCCAS), 2012 IEEE Asia Pacific Conference on; 01/2012


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