WO2012064178A1 - Procédé servant à réaliser une programmation de noeuds capteurs adaptable dans un réseau de capteurs sans fil - Google Patents

Procédé servant à réaliser une programmation de noeuds capteurs adaptable dans un réseau de capteurs sans fil Download PDF

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Publication number
WO2012064178A1
WO2012064178A1 PCT/MY2011/000132 MY2011000132W WO2012064178A1 WO 2012064178 A1 WO2012064178 A1 WO 2012064178A1 MY 2011000132 W MY2011000132 W MY 2011000132W WO 2012064178 A1 WO2012064178 A1 WO 2012064178A1
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WO
WIPO (PCT)
Prior art keywords
active
traffic
sensor
nodes
normal
Prior art date
Application number
PCT/MY2011/000132
Other languages
English (en)
Inventor
Reza Khoshdelniat
Gopinath Rao Sinniah
Zeldi Suryady
Usman Sarwar
Original Assignee
Mimos Berhad
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mimos Berhad filed Critical Mimos Berhad
Publication of WO2012064178A1 publication Critical patent/WO2012064178A1/fr

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/40Bus networks
    • H04L12/40006Architecture of a communication node
    • H04L12/40039Details regarding the setting of the power status of a node according to activity on the bus

Definitions

  • the preferred embodiments of the present invention direct to a method for use in a wireless sensor network, and more particularly to an energy saving method for scheduling active and sleeping time of sensor nodes in a wireless sensor network.
  • the sensor nodes In the prior art related to wireless sensor-based applications, the sensor nodes would be equipped with conventional AA alkaline batteries as power source. In the event that the sensor nodes are deployed unattended in the subject environment for sensing purposes typically for a substantial period of time, the battery gradually drain out and in many cases changing of batteries may not be convenient for users.
  • FIG 2 illustrates the situation of nodes in the event that the sensor nodes are not configured based on sleeping mode schedule. Accordingly, it is seen that if an active sensor node sends a message to a sleeping node, the sleeping node will miss the message, due to the fact the sensor nodes are not synchronized allowing some nodes to be in active mode and some in sleeping mode.
  • the present invention has been accomplished to significantly improve the conventional methods and systems.
  • a method for use in managing at least two sensor nodes in a wireless sensor network comprising the step of scheduling the active and sleeping time for the sensor node based on the type of traffic at said sensor nodes; characterized in that, the scheduling the active and sleeping time step further comprising the steps of determining the type of traffic threshold as low (LA) active or high active (HA) determining the status of nodes based on the traffic threshold, reducing the active time of at least one of the nodes from normal active to low active when traffic is low and increasing the active time of at least one of the nodes from normal active to high active when traffic is high.
  • LA low
  • HA high active
  • the nodes are maintained at Normal Active time in the event that the traffic is normal.
  • FIG 1 shows the difference between a node which is always active and a node which has sleeping schedule
  • FIG 2 shows a prior art system whereby it illustrates the nodes having static sleeping schedule
  • FIG 3 shows the change of active time based on a preferred embodiment of the present invention
  • FIG 4 shows the change of active time for a sensor to low active in accordance with a preferred embodiment of the present invention
  • FIG 5 shows the Normal Active (NA) time in accordance with a preferred embodiment of the present invention
  • FIG 6 shows the change of a node from Normal Active (NA) time to High Active (HA) time in accordance with a preferred embodiment of the present invention
  • FIG 7 shows the three states of active time for sensor nodes in accordance with a preferred embodiment of the present invention.
  • FIG 8 shows the flowchart for the overall method of the present invention.
  • the present invention provides a method for use in managing the sensor nodes within a wireless sensor network, whereby there is provided an active and sleeping mode schedule for the nodes which has adaptability feature based on network traffic.
  • FIG 3 illustrates the change of active time of the sleeping schedule in the sensor nodes based on their traffic, in accordance with a preferred embodiment of the present invention.
  • L T is the threshold for low traffic and H T is the threshold for high traffics at the sensor node. It is preferred that the traffic ranges and so the active time types of the sensor nodes are as below:
  • LA Low Active -
  • NA Normal Active -
  • High Active - (HA) in the event that the traffic at the sensor node is more than HT, the traffic at the sensor node is considered as high traffic and the sensor node will change its active time to high active time as suitably shown in FIG 6.
  • each sensor node will count the number of messages that are sent to its address, or broadcasted and received by the node, or the messages that the sensor node has sent out to other nodes, and calculate the traffic for each cycle.
  • a feature that would aid to reduce the possibility of wasting power in the event that even during the scheduled sensor node active time, it does not receive any messages.
  • This feature allows adaptability of traffic trend, thus creating an energy efficient schedule for the sensor nodes.
  • the number of requests or messages coming as instructions from clients varies, thus making it unpredictable. This will result to the inability to predict the traffic at each sensor node.
  • the sleeping and active schedule of the sensor nodes must be adapted based on the traffic to permit efficient energy consumption and thus reducing the use of energy when the sensor node is not receiving any messages during active time.
  • LA Low Active
  • NA Normal Active
  • HA High Active
  • the Normal Active is the normal active time for the sensor node
  • the Low Active is when the active period of the sensor is reduced due to the low traffic
  • High Active is when the active period of the sensor node is configured to be increased due to high traffic. It is preferred that every sensor node during its active period would perform verification and then extend or reduce its active period in order to make it adaptable to traffic trend. Such verification includes, but not limiting to the following steps. It should be noted that the following describes an example of steps taken to change the status of the nodes based on traffic condition. It is understood that the change of status is interchangeable, to and from these three states subject to the condition of traffic.
  • the sensor nodes With the feature of adapting to traffic condition schedule, the sensor nodes would be able to reduce their power wastage in the event that no messages are received during that time, in addition to reducing the number of lost messages. This is significantly aided with the ability to change from one status to another based on the number of messages to be received or subject to the traffic at the nodes. Accordingly, a substantial amount of power can be conserved.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente invention concerne un procédé servant à gérer au moins deux nœuds capteurs dans un réseau de capteurs sans fil comprenant l'étape consistant à programmer le temps actif et de veille pour le nœud capteur en fonction du type de trafic au niveau desdits nœuds capteurs ; caractérisé en ce que l'étape de programmation du temps actif et de veille comprend en outre les étapes de détermination du type de seuil de trafic en tant que faiblement actif (LA) ou hautement actif (HA), de détermination de l'état des nœuds sur la base du seuil de trafic, de réduction du temps actif d'au moins l'un des nœuds, de normalement actif à faiblement actif, lorsque le trafic est faible, et d'augmentation du temps actif d'au moins l'un des nœuds, de normalement actif à hautement actif, lorsque le trafic est élevé. Le nœud est maintenu au temps normalement actif s'il est déterminé que le trafic est normal.
PCT/MY2011/000132 2010-11-11 2011-06-23 Procédé servant à réaliser une programmation de noeuds capteurs adaptable dans un réseau de capteurs sans fil WO2012064178A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
MYPI2010005302 2010-11-11
MYPI2010005302 2010-11-11

Publications (1)

Publication Number Publication Date
WO2012064178A1 true WO2012064178A1 (fr) 2012-05-18

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WO (1) WO2012064178A1 (fr)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2512747A (en) * 2014-02-25 2014-10-08 Cambridge Silicon Radio Ltd Mesh relay
WO2015009138A2 (fr) 2013-07-18 2015-01-22 Mimos Berhad Système et méthode de gestion de mode veille de noeuds sans fil dans un réseau de capteurs sans fil
WO2015170144A1 (fr) * 2014-05-08 2015-11-12 Nokia Technologies Oy Techniques permettant d'activer et de desactiver des noeuds dans un reseau
US9692538B2 (en) 2014-02-25 2017-06-27 Qualcomm Technologies International, Ltd. Latency mitigation
CN112188507A (zh) * 2020-10-21 2021-01-05 中国联合网络通信集团有限公司 传感节点的控制方法及装置

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
CHIANG ET AL.: "Neighborhood-Aware Density Control in Wireless Sensor Networks", SUTC'08. IEEE INTERNATIONAL CONFERENCE ON SENSOR NETWORKS, UBIQUITOUS AND TRUSTWORTHY COMPUTING, 11 June 2008 (2008-06-11), TAICHUNG, pages 122 - 129 *
LEE ET AL.: "Adaptive Duty-cycle based Congestion Control for Home Automation Networks", IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, vol. 56, no. 1, February 2010 (2010-02-01), SEOUL, SOUTH KOREA, pages 42 - 47 *

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015009138A2 (fr) 2013-07-18 2015-01-22 Mimos Berhad Système et méthode de gestion de mode veille de noeuds sans fil dans un réseau de capteurs sans fil
US9842202B2 (en) 2014-02-25 2017-12-12 Qualcomm Technologies International, Ltd. Device proximity
US10055570B2 (en) 2014-02-25 2018-08-21 QUALCOMM Technologies International, Ltd Mesh relay
GB2512747B (en) * 2014-02-25 2015-04-01 Cambridge Silicon Radio Ltd Mesh relay
US9489506B2 (en) 2014-02-25 2016-11-08 Qualcomm Technologies International, Ltd. Linking ad hoc networks
US9910976B2 (en) 2014-02-25 2018-03-06 Qualcomm Technologies International, Ltd. Processing mesh communications
US9672346B2 (en) 2014-02-25 2017-06-06 Qualcomm Technologies International, Ltd. Object tracking by establishing a mesh network and transmitting packets
US9692538B2 (en) 2014-02-25 2017-06-27 Qualcomm Technologies International, Ltd. Latency mitigation
US9754096B2 (en) 2014-02-25 2017-09-05 Qualcomm Technologies International, Ltd. Update management
GB2512747A (en) * 2014-02-25 2014-10-08 Cambridge Silicon Radio Ltd Mesh relay
CN106465041A (zh) * 2014-05-08 2017-02-22 诺基亚技术有限公司 允许网络中的节点的激活和去激活的技术
WO2015170144A1 (fr) * 2014-05-08 2015-11-12 Nokia Technologies Oy Techniques permettant d'activer et de desactiver des noeuds dans un reseau
US10271280B2 (en) 2014-05-08 2019-04-23 Nokia Technologies Oy Techniques allowing activation and deactivation of nodes in a network
CN106465041B (zh) * 2014-05-08 2021-01-12 诺基亚技术有限公司 允许网络中的节点的激活和去激活的技术
CN112188507A (zh) * 2020-10-21 2021-01-05 中国联合网络通信集团有限公司 传感节点的控制方法及装置

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