Prologue to Wireless Sensor Networks

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Prologue to Wireless Sensor Networks Presented by Sushanth Sivaram Vallath

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The most significant advancements are those that vanish. They mesh themselves into the texture of regular day to day existence until they are vague from it. - The late Mark Weiser, Father of Ubiquitous Computing and Chief Technologist of Xerox PARC

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Telos 4/04 Robust Low Power 250kbps Easy to utilize WeC 99 "Brilliant Rock" Rene 11/00 Dot 9/01 Mica 1/02 Small microcontroller 8 kB code 512 B information Simple, low-control radio 10 kbps ASK EEPROM (32 KB) Simple sensors Mica2 12/02 38.4kbps radio FSK Demonstrate scale Designed for experimentation sensor sheets control sheets NEST open exp. Stage 128 kB code, 4 kB information 40kbps OOK/ASK radio 512 kB Flash Spec 6/03 "Bit on a chip" Wireless Sensors Tiny detecting gadgets fit for remote correspondence

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What are sensor organizes spatially disseminated sensors to screen conditions at various areas, for example, temperature, sound, vibration, weight, movement or poisons.

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Platforms Berkeley Motes Tiny OS nesC Ns-2 TOSSIM

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Applications of WSN Temperature Humidity Vehicular development Pressure Noise levels Mechanical anxiety levels on appended objects Speed, course Etc…

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Factors Influencing Sensor Network Design Fault resistance Scalability Operating environment Sensor organize topology Transmission media Power utilization

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Sensors Representation Communication Graph Sensors are hubs Link between the sensors are the edges

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Routing Protocols LEACH Directed Diffusion PEGASIS TEEN APTEEN Etc…

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Sensor Issues Energy Constraint High Communication cost & Lot of different issues

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Management Issues Conversion of information to Information Data get to control

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SQL Underlying steering convention straightforward to client Some directing conventions are thought to be accumulation conventions (certain conglomeration)

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Sensor Database SQL sort interface SELECT avg(temperature), room, FROM sensors WHERE building = "Nedderman Hall" ORDER BY temperature GROUP BY room SAMPLING PERIOD 10 min

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SQL sort interfaces Cougar TinyDB Approximations Query Propagation Data Centric Storage Aging Data

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Query situation Sink Select temp from

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Efficiency accomplished through In-system collection

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Different sorts of questions Fully totaled inquiries Un-amassed questions Partially collected inquiries

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Fully accumulated inquiries Theorem: Finding most extreme lifetime directing tree for completely totaled questions with gathering expenses is NP-finished. Like Minimum Degree Spanning Tree(MDST) which is known to be NP-finished

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Un-collected inquiries Theorem: Finding most extreme lifetime steering tree for unaggregated questions is NP-finished. Decreased from choice issue for SET-COVER.

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Partially collected inquiries Can be decreased to unaggregated questions Approximation calculations used to take care of the unaggregated directing tree issue can be adjusted.

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Active territories in WSN Routing Topology control Data administration, collection and inquiry MAC conventions Target following, asset disclosure Monitoring and support Sensor approval Power issues Coverage and Connectivity

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Companies in Research Crossbow Intel IBM Microsoft PARC Fujitsu Lot more…

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References [1] Cedric Florens and Robert McEliece, "Parcel Distribution Algorithms for Sensor Networks", IEEE INFOCOM 2003. [2] Samuel Madden, Robert Szewczyk, Michael J. Franklin and David Culler, "Supporting Aggregate Queries Over Ad-Hoc Wireless Sensor Networks", [3] Sartaj Sahni and Xiaochun Xu, Algorithms for Wireless Sensor Networks. [4] Jamal N. Al-Karaki Ahmed E. Kamal, Routing Techniques in Wireless Sensor Networks: A Survey. [5] Bhaskar Krishnamachari, D Estrin, Stephen Wicker, Modeling Data-Centric Routing in Wireless Sensor Networks. [6] S.S Iyengar, Richard R. Streams, "Disseminated Sensor Networks", Chapman & Hall/CRC. [7] Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan, "Vitality proficient correspondence convention for remote microsensors systems," in 33rd Annual Hawaii International meeting on System Sciences. [8] David Braginsky and Deborah Estrin, "Talk directing calculation for sensor systems," in First ACM International Workshop on Wireless Sensor Networks and Application. [9] Y.Xu, J. Heidemann, and D. Estrin, "Topography educated vitality preservation for specially appointed steering," in Proceedings of the Seventh Annual ACM/IEEE International Conference on Mobile Computing and Networking, 2001. [10] B. Chen, K. Jamieson, H. Balakrishnan, and R. Morris, "Traverse: A vitality proficient coordination calculation for topology upkeep in specially appointed remote systems," ACM Wireless Networks Journal, September 2002. [11] Feng Zhao and Leonidas Guibas, "Remote Sensor Networks, an Information Processing Approach". [12] Yong Yao, J. E. Gehrke. The Cougar Approach to In-Network Query Processing in Sensor Networks. Sigmod Record, Volume 31, Number 3. September 2002. [13] Yong Yao, J. E. Gehrke. Inquiry Processing in Sensor Networks. In Proceedings of the First Biennial Conference on Innovative Data Systems Research (CIDR 2003). Asilomar, California, January 2003. [14] Xiuli Ma, Dongqing Yang, Shiwei Tang, Qiong Luo, Dehui Zhang, and Shuangfeng Li. Web based Mining in Sensor Networks. NPC 2004: 544-550 [15] Chiranjeeb Buragohain, Divyakant Agrawal, and Subhash Suri, Power Aware Routing for Sensor Databases.

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Thank You

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