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SGER: Routing and Data Compression in Multi-Hop Sensor Networks

SGER: Routing and Data Compression in Multi-Hop Sensor Networks
SGER:多跳传感器网络中的路由和数据压缩
批准号:
0227676
负责人:
Anna Scaglione
金额:
$10.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-06-15 至 2003-05-31

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中文摘要
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英文摘要
Anna ScaglioneCornell UniversityAs the size,the cost and the power consumption of communication devices and integrated circuits de-creases designing a system of autonomous sensors,that can monitor the environment and are capableof transporting and processing the information in any point of the controlled area,becomes a concretegoal.While the fabrication technology is mature to make intelligent sensors with wireless communicationinterfaces which are small and inexpensive,the main challenge in the design of these networks is at thesystem level. The scenario analyzed in [4 ]is radically di .erent from large networks such as thetelephone network that have highly hierarchical architectures:in [4 ]all the nodes have identical function-alities,equal transmission bandwidth and are uniformly distributed over a circular region of .xed radius.However,[4 ]is neglecting one fundamental aspect of the problem:the nodes samples will be increas-ingly dependent as the density of the nodes increases [7 ].This observation was used in [8 ]where it wasproven that distributed codes,that compress separately the correlated samples in each node,can reducethe amount of bits per node per square meter to an O (N .1 ),i.e.much faster than the transport capacity.The limitation of the approach in [8 ]is the high complexity required to have signi .cant compression gainwithout sharing one single bit of data among the nodes Fortunately,there is no need to impose suchconstraint.After all,the trademark of multi-hop networks is that power e .cient transmission is achievedwhen the data travel through several intermediate close-by nodes before reaching their .nal destination.If neighboring nodes were jointly compressing the data before forwarding them remotely,they could savemany bits per sample while transmitting with the same or even greater precision.A good engineeringdesign is compelled to exploit this fortunate coincidence by combining routing and and classical (not dis-tributed)source coding.This is the truly novel aspect of our project and,to the best of our knowledge,this connection has not been studied before.
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