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A Novel Threshold-Based Transmission Control Scheme for WSNs Jrg Schneider, Stephan Lorenz, Andreas Klein, Christian Mannweiler, Hans D. Schotten 02.08.2011 University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and


  1. A Novel Threshold-Based Transmission Control Scheme for WSNs Jörg Schneider, Stephan Lorenz, Andreas Klein, Christian Mannweiler, Hans D. Schotten 02.08.2011 University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  2. Contents 1. Introduction 2. TEEN Protocol 3. Event-Driven TEEN (ED-TEEN) Protocol 4. Results and Characteristics of ED-TEEN 5. Conclusions and Future Work University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  3. 1. Introduction  Energy  WSNs are designated to collect data even in challenging scenarios where energy supply is the most critical issue  Energy efficient routing schemes are necessary to increase the lifetime of a network (source vs. table driven routing)  But most test results are based on theoretical models (like energy consumption per transmitted bit)  Research basis  “low energy adaptive clustering hierarchy protocol” (LEACH)  “threshold sensitive energy efficient sensor network protocol” (TEEN)  We present an extension of the TEEN protocol verified by simulations based on a more realistic energy model derived from measurements University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  4. Contents 1. Introduction 2. TEEN Protocol 3. Event-Driven TEEN (ED-TEEN) Protocol 4. Results and Characteristics of ED-TEEN 5. Conclusions and Future Work University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  5. 2. TEEN Protocol (1/2)  Cluster-based, reactive routing protocol  Based on two threshold values that trigger if a node becomes active or not  Hard threshold: If the measured attribute is beyond this threshold, the node transceiver is turned on  Soft threshold: Describes the necessary difference between two measurements so that the transceiver gets turned on  WSNs would have to change their soft threshold value based on facts like daylight or season of the year  Every time new cluster heads get selected, the threshold values can change University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  6. 2. TEEN Protocol (2/2)  Advantage  Reduces the amount of data that needs to be transmitted  Disadvantage  Frequent variations of the measured values lead to numerous threshold changes  Increasing the soft threshold value would solve that issue  However, risk of missing a sensor using up all its energy and going down University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  7. Contents 1. Introduction 2. TEEN Protocol 3. Event-Driven TEEN (ED-TEEN) Protocol 4. Results and Characteristics of ED-TEEN 5. Conclusions and Future Work University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  8. 3. Event-Driven TEEN (ED-TEEN) Protocol  Extension of TEEN with three additional node states  New behavior after sending an exact value according to “basic” TEEN 1. Node sleeps for p rounds 2. Node sends only the gradient of the measured attribute • To let base station know that node is still alive 3. If a node has to send no data packet for k times, it will turn its transceiver off for m rounds Send exact value Sleep mode Send gradient Sleep mode for p = 3 rounds If TEEN conditions not fulfilled Round duration Sleep mode Sleep mode Sleep mode Send exact value Sleep mode Sleep mode Send gradient k = 1 k = 0 University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  9. 3. Event-Driven TEEN (ED-TEEN) Protocol  Significant reduction of the power consumption in a WSN  Our research is based on the temperature sensor value (16bit) of a Crossbow IRIS node  Submitting a single flag (1bit) reduces the on-time of the transceiver  Measurements without significant changes allow the transceiver to stay in sleep mode for a certain amount of rounds  An additional TDMA scheme synchronizes all nodes in a cluster (like in LEACH) University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  10. 3.1 Restructuring of the TEEN protocol  Instead of picking new cluster heads every round, we determine new cluster heads every n ( n ≥ m ) rounds  Cluster heads are not allowed to sleep  The optimal choice of k, m and p depends on the desired application  If m and p are too large and k is too small: network looses its accuracy and important information can get lost  If m and p are too small and k is too large: advantage to TEEN gets lost University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  11. 3.2 Energy Model  Instead of using theoretical values from a datasheet, we derived a more realistic and precise energy model based on measurements  Model uses three different energy states  „Transceive“  “Sensing”  “Computing” Figure 1 : Model of energy consumption University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  12. Contents 1. Introduction 2. TEEN Protocol 3. Event-Driven TEEN (ED-TEEN) Protocol 4. Results and Characteristics of ED-TEEN 5. Conclusions and Future Work University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  13. 4. Results and Characteristics of ED-TEEN (1/2)  Simulation is done with network simulator “NS2“ (Version 2.34)  Simulation compares TEEN with ED-TEEN  We allow nodes to sleep for one period (m=1)  If they did not have to become active the last four periods (k=4)  WSN with 100 nodes and 5 cluster heads  Deployment area of 100 x 100 meter  Nodes will only send a flag containing the gradient after three rounds (p=3) University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  14. 4. Results and Characteristics of ED-TEEN (2/2)  Performance evaluation between TEEN and ED-TEEN TEEN ED-TEEN 100 80 Sensor Nodes alive 60 40 20 0 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Rounds Figure 2 : Comparison of network lifetime University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  15. Contents 1. Introduction 2. TEEN Protocol 3. Event-Driven TEEN (ED-TEEN) Protocol 4. Results and Characteristics of ED-TEEN 5. Conclusions and Future Work University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  16. 5. Conclusions and Future Work  Conclusion  We presented an extension of the TEEN protocol verified by simulations based on a realistic energy model derived from measurements  In certain scenarios, ED-TEEN is significantly more efficient than TEEN  If the measured attribute has no significant changes  If p, k and m are chosen with respect to the application  Future Work  More detailed energy model for a WSN’s behavior  Energy consumption of executing computations and sensing processes on a sensor will be studied University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

  17. Thank You for your attention! Questions? University of Kaiserslautern EuroView 2011 Chair for Wireless Communications and Navigation

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