Asynchronous Power-Saving Protocols via Quorum Systems for IEEE Ad Hoc Networks Jehn-Ruey Jiang Hsuan-Chuang University
To Rest, to Go Far!
Outline IEEE Overview Power Saving Issues Asynchronous Quorum-based PS Protocols Optimal AQPS Protocols Analysis and Simulation Conclusion
Outline IEEE Overview Power Saving Issues Asynchronous Quorum-based PS Protocols Optimal AQPS Protocols Analysis and Simulation Conclusion
IEEE Approved by IEEE in 1997 Extensions approved in 1999 Standard for Wireless Local Area Networks ( WLAN )
IEEE Family(1/2) a: 6 to 54 Mbps in the 5 GHz band b (WiFi, Wireless Fidelity): 5.5 and 11 Mbps in the 2.4 GHz band g: 54 Mbps in the 2.4 GHz band
IEEE Family(2/2) c: support for frames d: new support for frames e: QoS enhancement in MAC f: Inter Access Point Protocol h: channel selection and power control i: security enhancement in MAC j: 5 GHz globalization
IEEE Market Source: Cahners In-Stat ($ Million)
IEEE Components Station (STA) - Mobile host Access Point (AP) - Stations are connected to access points. Basic Service Set (BSS) - Stations and the AP within the same radio coverage form a BSS. Extended Service Set (ESS) - Several BSSs connected through APs form an ESS.
Infrastructure vs Ad-hoc Modes infrastructure network ad-hoc network AP wired network ad-hoc network Multi-hop ad hoc network
Ad hoc Networks Ad hoc: formed, arranged, or done (often temporarily) for a particular purpose only Mobile Ad Hoc Network (MANET): A collection of wireless mobile hosts forming a temporary network without the aid of established infrastructure or centralized administration
Applications of MANETs Battlefields Disaster rescue Spontaneous meetings Outdoor activities
Single-Hop vs Multi-Hop Single-Hop Each node is within each other ’ s transmission range Fully connected Multi-Hop A node reaches other nodes via a chain of intermediate nodes Networks may partition and/or merge
Outline IEEE Overview Power Saving Issues Asynchronous Quorum-based PS Protocols Optimal AQPS Protocols Analysis and Simulation Conclusion
Power Saving - Overview Battery is a limited resource for portable devices Power saving becoming a very hot topic is wireless communication Solutions: PHY: transmission power control MAC: power mode management Network Layer: power-aware routing
Transmission Power Control Tuning transmission energy for higher channel reuse Example: A is sending to B (based on IEEE ) Can (C, D) and (E, F) join? Source: Prof. Tseng
Power Mode Management doze mode vs. active mode example: A is sending to B Does C need to stay awake? Source: Prof. Tseng
Power-Aware Routing Routing in an ad hoc network with energy- saving (prolonging network lifetime) in mind Example: Source: Prof. Tseng +–+– +–+– +–+– +–+– +–+– +–+– SRC N1 N2 DES T N4 N3
IEEE PS Mode(1/2) Power Consumption: (ORiNOCO IEEE b PC Gold Card) Vcc:5V, Speed:11Mbps
IEEE PS Mode(2/2) Environments: Infrastructure Ad hoc (infrastructureless) Single-hop Multi-hop
PS: Infrastructure (1/3) Clock synchronization is required (via TSF) The AP is responsible for generating beacons each of which contains a valid time stamp If the channel is in use, defer beacon transmission until it is free
PS: Infrastructure (2/3) A host always notifies AP its mode A PS host periodically wakes up to listen to beacons AP keeps a PS host awake by sending ”traffic indication map (TIM)” in a beacon for unicast data AP keeps all PS hosts awake by sending ”delivery traffic indication map (DTIM)” in a beacon for broadcast data
PS: Infrastructure (3/3)
PS : 1-hop Ad hoc Network (1/2) Beacon Interval ATIM Window Host A Host B Beacon BT A =2, BT B =5 power saving state Beacon ATIM ACK active state data frame ACK Source: Prof. Tseng
PS: 1-hop Ad hoc Network (2/2) ATIM ACK Data Frame ACK Host A Host B ATIM Window Beacon Interval Power Saving Mode Beacon Interval Beacon Host C ATIM ACK Data Frame ACK Beacon Target Beacon Transmission Time (TBTT)
PS: m-hop Ad hoc Network (1/3) Problems: Clock Synchronization is hard due to communication delays and mobility Network Partition unsynchronized hosts with different wakeup times may not recognize each other
Clock Drift Example Max. clock drift for IEEE TSF (200 DSSS nodes, 11Mbps, aBP=0.1s)
Network-Partitioning Example Host A Host B AB C DE F Host C Host D Host E Host F ╳ ╳ ATIM window ╳ ╳ Network Partition Source: Prof. Tseng
PS: m-hop Ad hoc Network (3/2) Solution: Not to synchronize hosts’ clocks But to achieve Wakeup prediction Neighbor discovery
PS: m-hop Ad hoc Network (3/3) Three asyn. solutions: Dominating-Awake-Interval Periodical-Fully-Awake-Interval Quorum-Based Ref: “Power-Saving Protocols for IEEE Based Multi-Hop Ad Hoc Networks,” Yu-Chee Tseng, Chih-Shun Hsu and Ten-Yueng Hsieh InfoCom’2002
Outline IEEE Overview Power Saving Issues Asynchronous Quorum-based PS Protocols Optimal AQPS Protocols Analysis and Simulation Conclusion
Quorum-based PS Protocol
Quorum interval
Touchdown A PS host’s beacon can be heard twice or more for every n consecutive beacon intervals, which in turn solves Wakeup prediction Neighbor discovery
Observation A quorum system may be translated to a power-saving protocol, whose power- consumption is proportional to the quorum size.
Questions Can any quorum system be translated to an asyn. PS protocol? NO! Which can be? Those with the Rotation Closure Property !!
Outline IEEE Overview Power Saving Issues Asynchronous Quorum-based PS Protocols Optimal AQPS Protocols Analysis and Simulation Conclusion
Contributions Propose the rotation closure property Propose the lower bound of the quorum size Propose a novel quorum systems to be translated to an adaptive PS protocol
What are quorum systems? Quorum: a subset of universal set U E.G. q 1 ={1, 2} and q 2 = {2, 3} are quorums under U={1,2,3} Quorum system: a collection of mutually intersecting quorums E.G. {{1, 2},{2, 3},{1,3}} is a quorum system under U={1,2,3}
Rotation Closure Property For example, Q1={{0,1},{0,2},{1,2}} under U={0,1,2} Q2={{0,1},{0,2},{0,3},{1,2,3}} under U={0,1,2,3} Because {0,1} rotate({0,3},3) =
Examples of quorum systems Majority quorum system Tree quorum system Hierarchical quorum system Cohorts quorum system ………
Optimal Quorum Size Optimal quorum size: k, where k(k-1)+1=n and k-1 is a prime power (K n)
Optimal Quorum Systems Near optimal quorum systems Grid quorum system Torus quorum system Cyclic (difference set) quorum system Optimal quorum system FPP quorum system
Torus quorum system
Cyclic (difference set) quorum system Def: A subset D={d 1,…,d k } of Z n is called a difference set if for every e 0 (mod n), there exist elements d i and d j D such that d i -d j =e. {0,1,2,4} is a difference set under Z 8 { {0, 1, 2, 4}, {1, 2, 3, 5}, {2, 3, 4, 6}, {3, 4, 5, 7}, {4, 5, 6, 0}, {5, 6, 7, 1}, {6, 7, 0, 2}, {7, 0, 1, 3} } is a cyclic (difference set) quorum system
FPP quorum system FPP: Finite Projective Plane Proposed by Maekawa in 1985 For solving distributed mutual exclusion Constructed with a hypergraph Also a Singer difference set quorum system
E-Torus quorum system
Outline IEEE Overview Power Saving Issues Asynchronous Quorum-based PS Protocols Optimal AQPS Protocols Analysis and Simulation Conclusion
Analysis (1/3) Active Ratio: the number of quorum intervals over n, where n is cardinality of the universal set neighbor sensibility (NS) the worst-case delay for a PS host to detect the existence of a newly approaching PS host in its neighborhood
Analysis (2/3)
Analysis (3/3)
Simulation Model Area: 1000m x 1000m Speed: 2Mbps Radio radius: 250m Battery energy: 100J. Traffic load: Poisson Dist., 1~4 routes/s, each having ten 1k packets Mobility: way-point model (pause time: 20s) Routing protocol: AODV
Simulation Parameters Unicast send * L Broadcast send * L Unicast receive * L Broadcast receive * L Idle843 Doze27 L: packet length Unicast packet size 1024 bytes Broadcast packet size 32 bytes Beacon window size 4ms MTIM window size 16ms
Simulation Metrics Survival ratio Neighbor discovery time Throughput Aggregate throughput
Simulation Results (1/10) Survival ratio vs. mobility (beacon interval = 100 ms, 100 hosts, traffic load = 1 route/sec).
Simulation Results (2/10) Neighbor discovery time vs. mobility (beacon interval =100 ms, 100 hosts, traffic load = 1 route/sec).
Simulation Results (3/10) Throughput vs. mobility (beacon interval = 100 ms, 100 hosts, traffic load = 1 route/sec).
Simulation Results (4/10) Survival ratio vs. beacon interval length (100 hosts, traffic load = 1 route/sec, moving speed = 0~20 m/sec with mean = 10m/sec).
Simulation Results (5/10) Neighbor discovery time vs. beacon interval length (100 hosts, traffic load = 1 route/sec, moving speed = 0~20 m/sec with mean = 10m/sec).
Simulation Results (6/10) Throughput vs. beacon interval length (100 hosts, traffic load = 1 route/sec, moving speed = 0~20 m/sec with mean =10m/sec).
Simulation Results (7/10) Survival ratio vs. traffic load (beacon interval = 100 ms, 100 hosts, mobility = 0~20 m/sec with mean = 10 m/sec).
Simulation Results (8/10) Throughput vs. traffic load (beacon interval =100 ms, 100 hosts, mobility = 0~20 m/sec with mean = 10 m/sec).
Simulation Results (9/10) Survival ratio vs. host density (beacon interval = 100ms, traffic load 1 route/sec, mobility = 0~20 m/sec with mean= 10 m/sec).
Simulation Results (10/10) Throughput vs. host density (beacon interval = 100ms, traffic load 1 route/sec, mobility = 0~20m/sec with mean= 10 m/sec).
Outline IEEE Overview Power Saving Issues Asynchronous Quorum-based PS Protocols Optimal AQPS Protocols Analysis and Simulation Conclusion
Conclusion (1/2) Quorum systems with the rotation closure property can be translated to an asyn. PS protocol. The active ratio is bounded by 1/ n, where n is the number of a group of consecutive beacon intervals. Optimal, near optimal and adaptive AQPS protocols save a lot of energy w/o degrading performance significantly
Conclusion (2/2) Future work: To incorporate AQPS protocols with those demanding accurate neighboring node’s information, e.g., geometric routing protocols To incorporate quorum system concept to wireless sensor networks To incorporate quorum system concept to Bluetooth technology
Q&A