2008-08-29 09:00:15 +00:00
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/*
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* Copyright (c) 2008, Swedish Institute of Computer Science.
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* 3. Neither the name of the Institute nor the names of its contributors
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* may be used to endorse or promote products derived from this software
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* without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE INSTITUTE AND CONTRIBUTORS ``AS IS'' AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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* ARE DISCLAIMED. IN NO EVENT SHALL THE INSTITUTE OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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* SUCH DAMAGE.
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*
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2008-11-26 14:22:54 +00:00
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* $Id: SensorDataAggregator.java,v 1.2 2008/11/26 14:22:54 nifi Exp $
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2008-08-29 09:00:15 +00:00
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*
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* -----------------------------------------------------------------
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*
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* SensorDataAggregator
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*
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* Authors : Joakim Eriksson, Niclas Finne
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* Created : 20 aug 2008
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2008-11-26 14:22:54 +00:00
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* Updated : $Date: 2008/11/26 14:22:54 $
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* $Revision: 1.2 $
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2008-08-29 09:00:15 +00:00
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*/
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package se.sics.contiki.collect;
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/**
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*
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*/
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public class SensorDataAggregator implements SensorInfo {
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private final Node node;
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private long[] values;
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private int dataCount;
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public SensorDataAggregator(Node node) {
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this.node = node;
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this.values = new long[VALUES_COUNT];
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}
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public Node getNode() {
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return node;
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}
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public String getNodeID() {
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return node.getID();
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}
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public long getValue(int index) {
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return values[index];
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}
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public long getAverageValue(int index) {
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return dataCount > 0 ? values[index] / dataCount : 0;
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}
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public int getValueCount() {
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return values.length;
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}
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public int getDataCount() {
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return dataCount;
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}
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public void addSensorData(SensorData data) {
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2008-11-26 14:22:54 +00:00
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for (int i = 0, n = Math.min(VALUES_COUNT, data.getValueCount()); i < n; i++) {
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2008-08-29 09:00:15 +00:00
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values[i] += data.getValue(i);
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}
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dataCount++;
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}
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public void clear() {
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for (int i = 0, n = values.length; i < n; i++) {
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values[i] = 0L;
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}
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dataCount = 0;
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}
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public String toString() {
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StringBuilder sb = new StringBuilder();
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for (int i = 0, n = values.length; i < n; i++) {
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if (i > 0) sb.append(' ');
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sb.append(values[i]);
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}
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return sb.toString();
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}
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public double getCPUPower() {
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return (values[TIME_CPU] * POWER_CPU) / (values[TIME_CPU] + values[TIME_LPM]);
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}
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public double getLPMPower() {
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return (values[TIME_LPM] * POWER_LPM) / (values[TIME_CPU] + values[TIME_LPM]);
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}
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public double getListenPower() {
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return (values[TIME_LISTEN] * POWER_LISTEN) / (values[TIME_CPU] + values[TIME_LPM]);
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}
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public double getTransmitPower() {
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return (values[TIME_TRANSMIT] * POWER_TRANSMIT) / (values[TIME_CPU] + values[TIME_LPM]);
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}
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public double getAveragePower() {
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return (values[TIME_CPU] * POWER_CPU + values[TIME_LPM] * POWER_LPM
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+ values[TIME_LISTEN] * POWER_LISTEN + values[TIME_TRANSMIT] * POWER_TRANSMIT)
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/ (values[TIME_CPU] + values[TIME_LPM]);
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}
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public long getPowerMeasureTime() {
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return (1000L * (values[TIME_CPU] + values[TIME_LPM])) / TICKS_PER_SECOND;
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}
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public double getAverageTemperature() {
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return dataCount > 0 ? (-39.6 + 0.01 * (values[TEMPERATURE] / dataCount)) : 0.0;
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}
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public double getAverageRadioIntensity() {
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return getAverageValue(RSSI);
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}
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public double getAverageLatency() {
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return getAverageValue(LATENCY) / 4096.0;
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}
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public double getAverageHumidity() {
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double v = 0.0;
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if (dataCount > 0) {
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v = -4.0 + 405.0 * (values[HUMIDITY] / dataCount) / 10000.0;
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}
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return v > 100 ? 100 : v;
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}
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public double getAverageLight1() {
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return 10.0 * getAverageValue(LIGHT1) / 7.0;
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}
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public double getAverageLight2() {
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return 46.0 * getAverageValue(LIGHT2) / 10.0;
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}
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public double getAverageBestNeighborETX() {
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return getAverageValue(BEST_NEIGHBOR_ETX) / 16.0;
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}
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}
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