A power-saving data storage scheme for wireless sensor networks

In wireless sensor network (WSN), sensors are small, inexpensive, and computable. However, they are limited in power, memory, and computational capacities. A large number of tiny sensors are usually deployed randomly to monitor one or more phenomena to collect and process the sensed data, and to send the data back to the sink. Many literatures focus on developing power-saving protocols. In addition, many papers present data storage schemes but they do not take power saving into consideration. Hence, these data storage schemes cannot perform well based on power-saving protocols. Therefore, it is very critical to propose a data storage scheme to support power-saving mechanism. In this paper, we propose a power-saving data storage scheme for WSN. Our scheme adopts grid-based architecture, in which each grid guarantees that two sensors will stay in active mode while the others stay in sleep mode to save energy. Simulation results show that our power-saving data storage scheme can reduce energy consumption.

[1]  Yu-Chee Tseng,et al.  Compression and Storage Schemes in a Sensor Network with Spatial and Temporal Coding Techniques , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[2]  Jianliang Xu,et al.  Processing Precision-Constrained Approximate Queries in Wireless Sensor Networks , 2006, 7th International Conference on Mobile Data Management (MDM'06).

[3]  Deborah Estrin,et al.  Data-Centric Storage in Sensornets with GHT, a Geographic Hash Table , 2003, Mob. Networks Appl..

[4]  Kuei-Ping Shih,et al.  A grid-based dynamic load balancing approach for data-centric storage in wireless sensor networks , 2010, Comput. Electr. Eng..

[5]  Sridhar Radhakrishnan,et al.  PMAC: an adaptive energy-efficient MAC protocol for wireless sensor networks , 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

[6]  Stefano Chessa,et al.  Q-NiGHT: Adding QoS to Data Centric Storage in Non-Uniform Sensor Networks , 2007, 2007 International Conference on Mobile Data Management.

[7]  Yu-Chee Tseng,et al.  Quorum-Based Asynchronous Power-Saving Protocols for IEEE 802.11 Ad Hoc Networks , 2003, 2003 International Conference on Parallel Processing, 2003. Proceedings..

[8]  A. M. Abdullah,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1997 .

[9]  Frank H. P. Fitzek,et al.  Reliable cooperative information storage in wireless sensor networks , 2008, 2008 International Conference on Telecommunications.

[10]  Dong Xuan,et al.  A dynamic geographic hash table for data-centric storage in sensor networks , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[11]  Jerry Zhao,et al.  STDCS: A Spatio-Temporal Data-Centric Storage Scheme For Real-Time Sensornet Applications , 2008, 2008 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[12]  Tarek F. Abdelzaher,et al.  EnviroStore: A Cooperative Storage System for Disconnected Operation in Sensor Networks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[13]  Lek Heng Ngoh,et al.  An efficient resiliency scheme for data centric storage in wireless sensor networks , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[14]  Kirk Pruhs,et al.  Zone sharing: a hot-spots decomposition scheme for data-centric storage in sensor networks , 2005, DMSN '05.

[15]  Wan-Chi Wu,et al.  Effective hotspot storage management schemes in wireless sensor networks , 2008, Comput. Commun..

[16]  Murat Demirbas,et al.  Distributed Quad-Tree for Spatial Querying in Wireless Sensor Networks , 2007, 2007 IEEE International Conference on Communications.

[17]  Wen-Hwa Liao,et al.  Data storage and range query mechanism for multi-dimensional attributes in wireless sensor networks , 2010, IET Commun..

[18]  Wen-Hwa Liao,et al.  An asynchronous MAC protocol for wireless sensor networks , 2008, J. Netw. Comput. Appl..

[19]  Nicholas F. Maxemchuk,et al.  Telescopic Data Compression in Dense Sensor Networks that Support Fire-Fighters , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[20]  Yu-Chee Tseng,et al.  GRID: A Fully Location-Aware Routing Protocol for Mobile Ad Hoc Networks , 2001, Telecommun. Syst..

[21]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[22]  M. Lakshmanan,et al.  AN ADAPTIVE ENERGY EFFICIENT MAC PROTOCOL FOR WIRELESS SENSOR NETWORKS , 2009 .

[23]  Deborah Estrin,et al.  Data-centric storage in sensornets , 2003, CCRV.

[24]  Young-Jin Kim,et al.  Multi-dimensional range queries in sensor networks , 2003, SenSys '03.

[25]  Deborah Estrin,et al.  GHT: a geographic hash table for data-centric storage , 2002, WSNA '02.

[26]  Yu-Chee Tseng,et al.  Quorum-Based Asynchronous Power-Saving Protocols for IEEE 802.11 Ad Hoc Networks , 2005, Mob. Networks Appl..

[27]  Lakhmi C. Jain,et al.  Network and information security: A computational intelligence approach: Special Issue of Journal of Network and Computer Applications , 2007, J. Netw. Comput. Appl..

[28]  Alexandros Labrinidis,et al.  Similarity-aware query processing in sensor networks , 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.

[29]  Koen Langendoen,et al.  An adaptive energy-efficient MAC protocol for wireless sensor networks , 2003, SenSys '03.