1 / 21

Energy-efficient collision-free medium access control for wireless sensor networks

Energy-efficient collision-free medium access control for wireless sensor networks. Venkatesh Rajendran Katia Obraczka Garcia-Luna-Aceves Department of Computer Engineering University of California, Santa Cruz ACM SenSys’03. Speaker: Yung-Lin Yu. Outline. Introduction TRAMA

owena
Download Presentation

Energy-efficient collision-free medium access control for wireless sensor networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Energy-efficient collision-free medium access control for wireless sensor networks Venkatesh Rajendran Katia Obraczka Garcia-Luna-Aceves Department of Computer Engineering University of California, Santa Cruz ACM SenSys’03 Speaker: Yung-Lin Yu

  2. Outline • Introduction • TRAMA • NP(Neighbor Protocol) • SEP(Schedule Exchange Protocol) • AEA(Adaptive Election Algorithm) • Experimental setup • Simulation results • Conclusion

  3. Introduction • The deployment of sensor network usually done in ad-hoc manner • Self-organize into a multi-hop wireless network • Nodes may be difficult to recharge • Nodes recharging may not be cost effective • Major challenge • Self adaptive to changes in traffic • Prolongs the battery life

  4. TRAMA • Overview • TRAMA consists of three components • NP (Neighbor Protocol) • SEP (Schedule Exchange Protocol) • AEA (Adaptive Election Algorithm)

  5. NP • Nodes can only join during random access periods • Main function of random access periods is node additions and deletions • All nodes must be transmit or receive state • The most energy consumption

  6. NP (cont.) • Using signaling packets to gather neighborhood information • During the random access period • Updates about its one-hop neighborhood • Added or deleted • Keep-alive • Time out a neighbor

  7. SEP • SEP establishes and maintains schedule information • The information is periodically broadcast • Each node has a SCHEDULE_INTERVAL • Winning slots • Node computes in the interval [t,t+ SCHEDULE_INTERVAL] • Last winning slot reserved for broadcasting the node’s schedule for the next interval

  8. SEP (cont.) • Schedule packets • Nodes announce their schedule via Schedule packets • Using bitmap to transmit schedule packets • The length of bitmap is the number of one-hop neighbors • Eg. • A node has 4 one-hop neighbors with identities 14,7,5,4 • If broadcast , bitmap : 1111 • If multicast to 14 and 5, bitmap: 1010

  9. SEP (cont.) • ChangeOver slot • The slot after which all the winning slots go unused • The maximum sleep periods • ChangeOver slot to last winning slot

  10. SEP (cont.) • A summary of a node’s schedule • Sent with every data packet • Summary help minimize the effects of packet loss • In order not to excessive overhead, the schedule summary is 6 bytes

  11. AEA • Purpose • To Decide node’s state (TX, RX, SL) • Re-use slots

  12. C AEA (cont.) tx A D lost B 100 200 ASK 95 79 Inconsistency problem

  13. AEA (cont.) • Node u is tx(u) • u wants to transmit • Let u.state = TX • Let u.receiver = u.reported.rxId • u gave up transmit • Call HandleNeedTransmissions • tx(u)belongs to N1(u) • tx(u).announcedReceiver = u • Let u.state = RX • Else u.state = SL

  14. AEA (cont.) • atx(u) hidden from tx(u) • atx(u).announcedReceiver = u • Let u.state = RX • Else u.state = SL • HandleNeedTransmissions • ntx(u) = u • Let u.state = TX • Let u.receiver = u.reported.rxId • atx(u).announcedReceiver = u • Let u.state = RX • Else u.state = SL

  15. Experimental setup • Simulation platform • Qualnet • Physical layer model • TR1000 • 50 nodes are uniformly distributed over a 500m x 500m area • 6 one-hop neighbors on average • 17 two-hop neighbors on average • 2 different types of traffic load • Synthetic data generation • Data gathering application

  16. Simulation results • Synthetic traffic Average packet delivery ratio for synthetic traffic Average queuing delay for synthetic traffic

  17. Simulation results (cont.)

  18. Simulation results (cont.) • Data gathering application

  19. Simulation results (cont.)

  20. Simulation results (cont.)

  21. Conclusion • TRAMA achieves • Energy-savings comparable to S-MAC • Delivery guarantees comparable to NAME • TRAMA has higher delay • It Suited for • Not delay sensitive • High delivery guarantees • Energy efficiency

More Related