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). 08/2009; 28(7):1017 - 1024. DOI: 10.1109/TCAD.2009.2018865
Source: IEEE Xplore


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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    • "In addition, the power state and its transition correlations in most of classical energy models are generally oversimplified, which normally focuses on RF transceivers but ignoring other components may result in an imprecise evaluation especially when taking into account of the cases with heavy workloads on processors and sensors. Due to the employment of these imprecise models in the simulation tools (such as NS-2/3, SHAWN, and OPNET) [7] or on the evaluation platforms [8] [9] [10], the evaluation accuracy is deteriorated and the evaluation scopes of WSN applications are thus constrained. "
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    ABSTRACT: Due to the large scale of wireless sensor networks (WSN) and the huge density of WSN nodes, classical performance evaluation techniques face new challenges in view of the complexity and diversity in WSN applications. This paper presents a “state-event-transition” formal description for WSN nodes and proposes an event-driven QPN -based modeling technique to simulate the energy behaviors of nodes. Besides, the framework architecture of a dedicated energy evaluation platform has been introduced, which can be used to simulate the energy consumption of WSN nodes and to evaluate the system lifetime of WSN. Case studies prove that this platform can be utilized for the selection of WSN nodes and network protocols, the deployment of network topology, and the prediction of system lifetime as well.
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    • "Based on the work of Chouhan et al. (2009), we focus on long-range applications where the energy management relies on the minimisation of the transmit energy only, without taking into account the circuit energy. However, in short-range applications the signal transmission energy required is not very high and is comparable to the circuit energy consumed in transmitting and receiving signal. "
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    ABSTRACT: Energy in wireless sensor networks is a scarce resource, therefore an energy-efficient mechanism is required to increase the network lifetime. In this paper, we study the problem of optimal power allocation, taking into account the estimation of the total signal-to-noise ratio at the fusion centre FC. We consider that nodes transmit their data to the fusion centre over quasi-static Rayleigh fading channels. In order to analyse our approach, we first investigate the orthogonal channel case and then the non-orthogonal one introducing a virtual MISO framework communication scheme. We consider in both cases that the nodes have channel state information. Simulations show that the new algorithm introduced provides a network extension lifetime of more than 80% in comparison with other traditional methods.
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    • "We built a simulation model of a single camera node as follows: 1) sensor: 352×288 pixels (CIF), 2) PIR sensor [16], 3) event detector using OpenCV [17], 4) H.264/AVC video encoder with baseline profile [18], 5) NAND flash memory [9], 6) BPSK modulation without error correction code [14]. "
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    ABSTRACT: We proposed a scheme to improve the lifetime of multi-camera system and the quality of its captured image by appropriate sharing of such resources among camera nodes as battery and memory based on low-power wireless communication links among camera nodes. The proposed scheme determines which camera node captures the event and which camera node stores the captured event by jointly considering residual battery charge, remaining memory space, wireless communication overhead, and the image quality captured by each camera node. Experimental result has shown that the proposed scheme achieves up to 4x lifetime extension as well as 43.19% improvement of the image quality (as measured by the face detection rate) compared to a conventional method [12].
    Preview · Conference Paper · Jan 2011
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