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On Achieving Maximum Network Lifetime Through Optimal Placement of Cluster-heads in Wireless Sensor Networks High-Speed Networking Lab. Dept. of CSIE, Fu-Jen Catholic University Adviser: Jonathan C. Lu, Ph.D. Speaker: Yen-Fong Wang. Outline. Abstract Introduction Related work - PowerPoint PPT PresentationTRANSCRIPT
11/08/08
HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
On Achieving Maximum Network Lifetime On Achieving Maximum Network Lifetime Through Optimal Placement of Cluster-heads Through Optimal Placement of Cluster-heads
in Wireless Sensor Networksin Wireless Sensor Networks
High-Speed Networking Lab.High-Speed Networking Lab.Dept. of CSIE, Fu-Jen Catholic UniversityDept. of CSIE, Fu-Jen Catholic University
Adviser: Jonathan C. Lu, Ph.D.Adviser: Jonathan C. Lu, Ph.D.Speaker: Yen-Fong WangSpeaker: Yen-Fong Wang
11/08/08
HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
OutlineOutline• AbstractAbstract• IntroductionIntroduction• Related workRelated work• Optimal placement of cluster-heads (OPC) Optimal placement of cluster-heads (OPC)
algorithmalgorithm• Simulation resultsSimulation results• ConclusionConclusion• ReferenceReference
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HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
I. Abstract
• In wireless sensor network, the network lifetime is an important issue when the size of the network is large
• The cluster-heads near the sink get overloaded and drained out sooner
• Formulate an optimization problem and find the optimum number of cluster-heads to be deployed and their optimum transmission ranges
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HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
OutlineOutline• AbstractAbstract• IntroductionIntroduction• Related workRelated work• Optimal placement of cluster-heads (OPC) Optimal placement of cluster-heads (OPC)
algorithmalgorithm• Simulation resultsSimulation results• ConclusionConclusion• ReferenceReference
11/08/08
HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
II. Introduction• There are two basic network architectures in WSN
– Multi-hop– Cluster-heads
• Multi-hop: The sensor nodes are homogeneous and they transmit data packets via intermediate sensor nodes in a multi-hop fashion to the sink
• Cluster heads: The whole area is divided into a number of cluster regions
• Cluster-heads reduce the number of transmissions by aggregating the sensed information thereby minimizing the energy dissipation in the network
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HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
OutlineOutline• AbstractAbstract• IntroductionIntroduction• Related workRelated work• Optimal placement of cluster-heads (OPC) Optimal placement of cluster-heads (OPC)
algorithmalgorithm• Simulation resultsSimulation results• ConclusionConclusion• ReferenceReference
11/08/08
HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
III. Related work
• The lifetime of the sensor nodes is balanced by varying the radio’s transmission range
• Sensor nodes reach the cluster-head station using– Single-hop mode– Multi-hop mode– Hybrid communication mode
• The cluster-heads– Gather the sensed information from sensor nodes– Perform the required computation– Have long transmission range than that of the sensor nodes
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HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
OutlineOutline• AbstractAbstract• IntroductionIntroduction• Related workRelated work• Optimal placement of cluster-heads (OPC) Optimal placement of cluster-heads (OPC)
algorithmalgorithm• Simulation resultsSimulation results• ConclusionConclusion• ReferenceReference
11/08/08
HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
IV. OPC Algorithm• Places additional cluster-heads near the sink to handle the
high load
• Provides the optimum density and radio transmission range for the cluster-heads in order to achieve the maximum network lifetime with the minimum network cost
• Network model– The network is divided into number of clusters– Cluster-heads transmit packets to the data sink in a multi-hop path via
other cluster-heads– Sensor nodes communicate with their cluster-heads either in a single or
multi-hop path
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IV. Cluster architecture in wireless sensor network
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IV. OPC Algorithm
• Relationship between node density and transmission range–
• Optimum number of cluster-heads problem is non linear integer programming problem (NLP)
Joules102.7Energy 114 TxRange
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IV. OPC Algorithm
• Varying dense placement algorithm– The cluster-heads near the sink will run out of power sooner
and reduce the network lifetime
• Minimum number of cluster-heads required
: the minimum number of cluster-heads requiredr : the transmission range for cluster-heads
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HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
IV. Varying dense placement of cluster-heads
R1
2
3
45
6
r
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HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
IV. OPC Algorithm
• Cluster-heads can reduce the transmission range, in order to save energy
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HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
IV. OPC Algorithm
• The hop distance between the sink and the border cluster-heads is N, where
• The objective is to minimize the network cost is
K: the number of packets transmitted by a cluster-heads after collecting the data from
sensor nodes
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HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
OutlineOutline• AbstractAbstract• IntroductionIntroduction• Related workRelated work• Optimal placement of cluster-heads (OPC) Optimal placement of cluster-heads (OPC)
algorithmalgorithm• Simulation resultsSimulation results• ConclusionConclusion• ReferenceReference
11/08/08
HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
V. Simulation results
• Use GloMoSim simulator to simulate the results
• Compared uniform dense placement (UDP), varying dense placement (VDP) and OPC algorithms in the network lifetime, collisions and latency
• Simulation parameters– Network size (Terrain radius): 1000 – 2000 meters– Bandwidth: 48 kbps– Packet size 512 bytes– Transmission range (UDP/VDP): 200 meters– Transmission range (OPC): 80-200 meters– MAC protocol: IEEE 8.2.11 DCF
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V. Network lifetime for different network sizes
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V. Effect of varying traffic on collisions
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V. Effect of varying traffic on latency
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HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
OutlineOutline• AbstractAbstract• IntroductionIntroduction• Related workRelated work• Optimal placement of cluster-heads (OPC) Optimal placement of cluster-heads (OPC)
algorithmalgorithm• Simulation resultsSimulation results• ConclusionConclusion• ReferenceReference
11/08/08
HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
VI. Conclusion
• The optimum number if cluster-heads required and their respective transmission ranges
• This paper’s algorithm achieves the maximum network lifetime with the minimum network cost and less number of collisions
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HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
OutlineOutline• AbstractAbstract• IntroductionIntroduction• Related workRelated work• Optimal placement of cluster-heads (OPC) Optimal placement of cluster-heads (OPC)
algorithmalgorithm• Simulation resultsSimulation results• ConclusionConclusion• ReferenceReference
11/08/08
HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.HHigh-igh-SSpeed peed NNetworking etworking LLab.ab.
VII. Reference
• On Achieving Maximum Network Lifetime Through Optimal Placement of Cluster-heads in Wireless Sensor NetworksDhanaraj, M.; Siva Ram Murthy, C.;IEEE International Conference on Communications, 2007. ICC `07.
24-28 June 2007