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Power-efficient Clustering Routing Protocol Based on Applications in Wireless Sensor Network Authors: Tao Liu and Feng Li Form: International Conferecnce Wireless Communications Networking and Mobile Computing, pp.1-6, 24-26 Sept. 2009. Speaker : Zheng-Feng Yang Date : 2013/05/23.
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Power-efficient Clustering Routing Protocol Based on Applications in Wireless Sensor Network Authors: Tao Liu and Feng Li Form: International Conferecnce Wireless Communications Networking and Mobile Computing, pp.1-6, 24-26 Sept. 2009. Speaker: Zheng-Feng Yang Date:2013/05/23
Outline • Introduction • Related Work • Radio Model and Topology Network Of PECRP • Assumptions of PECRP and Proofs • PECRP Algorithm Details • Simulation and Comparison
Introduction • Wireless Sensor Network faces a challenge in energy consumption。
Related Work • Low-Energy Adaptive Clustering Hierarchy(LEACH) • Power-Efficient Gathering in Sensor Information Systems(PEGASIS) • Hybrid Energy-efficient Distributed Clustering Approach(HEED)
Radio Model and Topology Network Of PECRP • A. Radio Model • ETx-elec and ERx-elec express the startup energy of transmitting and receiving separately • k expresses the amount of transmitting data • d expresses the transmitting distance • Eelecexpress the startup energy of transmitting and receiving separately • ΕTX-ampdepends on the transmission distance and data size • εfsexpress amount of energy consumption for free space • εmpexpress amount of energy consumption for multipath fading • ERXexpresses the receiving consumption
Radio Model and Topology Network Of PECRP • Topology Network
Assumptions of PECRP and Proofs • A. Assumptions of PECRP • 1) To BS, this paper assumes that the energy supplied to BS is limitless. • 2) To sensor nodes, this paper assumes that the initial energy in nodes is the same. • 3) All the nodes in WSN are fixed and far to BS, or the landform is complex. • 4) PECRP is a routing protocol in network layer, and this paper only discusses in network layer.
Assumptions of PECRP and Proofs • B. Proofs • ETX(1,dAB)=kεfsd2AB=d2=EAB • ETX(1,dAC)=kεfsd2AC=d2=EAC • ETX(1,dCB)=kεfsd2CB=d2=ECB • ∵ d2AB= d2AC+d2CB-2dAC ×dCB ×cos ∠ACB • and ∠ACB>π/2 • ∴cos ∠ACB<0 • ∴d2AB>d2AC+d2CB • ∴EAB>EAC+ECB
Assumptions of PECRP and Proofs • EAB>EAD+EDB and EAD>EAC+ECD • EAB>EAC+ECD+EDB
Assumptions of PECRP and Proofs (Ato Ni) • d2ANi>d2AN1+d2N1N2+…+d2Ni-2Ni-1+ d2Ni-1Ni • EANi>EAN1+EN1N2+…+ENi-1Ni (Ato B) • d2AB>(d2AN1+d2N1N2+…+d2Ni-1Ni)+d2NiB • EAB>(EAN1+EN1N2+…+ ENi-1Ni)+ENiB
PECRP Algorithm Details • A. Electing CHs phase • 1.In electing CHs phase, BS sends “selecting head”, its location (<XBS,YBS>) and serial numbers of nodes to all the sensor nodes in WSN.
PECRP Algorithm Details • p expresses the percentage of CHs in all nodes • r expresses the rounds • G expresses a set that contains the nodes which did not shoulder CHs ever before • b expresses the serial numbers of nodes • Ecurrent expresses nodes energy • Emaxexpressed initial energy • diB expresses distance from point i to BS • dBASE is 5000m
PECRP Algorithm Details • B. Formatting cluster phase • After electing CHs based on TPECRP (n), each CH sends the information that contains being CH and its location <Xi ,Yi> to BS. • If the normal nodes receive “ADD”, they join the corresponding cluster and return “REQ” to the CHs. • C. Data transmissions phase
Simulation and Comparison • In summary, we can get that PECRP has better performances than LEACH in lifetime of WSN, the amount of data transmission and transmitting efficiency.