St Stream D t Gatherin Data G th ing in i Wireless Wi l Sensor S N t Networks k with ith Expected p t d Lifetime Lif ti Motiv vation Some applications do not need sensor networks with a long lifetime, such as monitoring an erupting volcano or h hazardous d conditions diti iin a ffew h hours. Th These appl pplications i ti generally g lly expect p t that th t sensor networks t k can provide stream data as much as possible by workiing continuously during a short expected lifetime. lifetime
Appr pproach • Maximizing stream data gathering (MSDG) within an ex xpected lifetime; • Minimizing transmission delay (MTD) for stream data g gathering within an expected lifetime; • Optimal Opti l g greedy dy fforwarding di g b bypassing yp i g hole h l routing. ti g
Solutions to Typical Probllems
Results
Figure.5. MSDG: Stream data gathering vs expected lifetime
Figure.1. Figure 1 Q: How to gather stream data from multiple source nodes when sensor nodes use maximum transmission bandwidth and some of them are dead A: Node disjoint routing for stream data gathering th i with ith dead d d sensor nodes d
Figure.2. Q: How to o gather stream data from multiple source nodes w when sensor nodes do not use maximum m transmission bandwidth A: Tree T topology based multi sourrce stream data gathering multi-sour
Figure.6. Figure 6 MSDG: Average delay vs expected t d lif lifetime ti
Figure.7. MTD: Stream data gathering vs expected p lifetime
Figure.3. gu e 3 Q: Q How o to o ga gather e sstream ea da data a from o ssingle ge source node when data producing speed of source node several times larger than sensor node’s node s maximum transmission bandwidth A: Stream data multi-path multi path t transmission i i with ith holes h l
Figure.4. Q: How to o gather stream data from multiple source nodes whe en data producing speed of source nodes several ttimes larger than sensor node’s node s maximum m transmission bandwidth A: Stream d data multi multi-source source multi-path multi path t nsmission tran i i with ith holes h l
Figure.8. g MTD: Average g delay y vs expected p lifetime
Lei Shu Zhangbing g g Zhou Antonio Aguilar g Manfred Hauswirth E:
[email protected] lei shu@deri org g E: E
[email protected] ha gbi gb g hou@de @d i o g E: E anto
[email protected] i g il @d i g E: E
[email protected] f dh i th@d i