Energy-Balanced m-Coverage and n

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Transcript Energy-Balanced m-Coverage and n

Energy-Balanced m-Coverage and n-Connectivity Routing Algorithm for WSN Yuping Dong, Hwa Chang, Zhongjian Zou, Sai Tang ICHIT2010

WSN Power Issue • • • Tiny sensor nodes do not carry much energy.

Long-lasting WSNs reduce cost.

Extreme environment and dense distribution of sensors prohibit battery recharge or replacement.

Energy Efficient Routing Protocols • • • Data Centric Hierarchical Location-based

m-Coverage and n-Connectivity • • m-Coverage => Full coverage of area n-Connectivity => Never lost information

Power Model

E tot

E TX

(

k

,

d

) 

E RX

(

k

) 

E Idle

E ST

E Sleep E TX

E elec k

 

amp kd

2

E RX

E elec k E ST

t Trans

E T

arg

etState

Energy-Balanced Routing Algorithm • Routing Setup – Calculate # of sets – Determine node’s hop count – Construct paths

P

w h

 

HC CurrHC

w e

EL

• Data Transmission

Simulation Results and Comparison

Number of Active Nodes vs. Coverage Ratio Nodes Usage vs. Hop Count

Energy-Aware Routing Algorithm for WSN Applications in Border Surveillance Yuping Dong, Hwa Chang, Zhongjian Zou, Sai Tang HST2010

Multiple Sink Nodes • • • • • Further distribute energy consumption.

Evenly divide the whole area.

Save setup time and transmission energy.

Shorter latency.

Assign local max hop count nodes with random set #s.

Example Networks

EBCCR EAR

Simulation Results

Number of Active Nodes vs. Coverage Ratio Nodes Usage vs. Hop Count