Survey on network lifetime research for wireless sensor networks

Wireless sensor network consists of large number of sensor nodes randomly distributed in some regions. Each node has a limited energy supply and generates information when some events that need to be communicated to a sink node occur. It has been proved that the nodes closer to the sink node will use up their energy more quickly, as a result, the network lifetime will be affected, some bad consequences will happen. Therefore how to optimize the network lifetime become an important problem. According to the reasearch fruit many reaserchers have contributed, we concluded that the method of optimizing the network life included keeping energy effectifcy, improving or creating some optimized algorithms, making use of the inherent mechanism of nodes and so on. The network lifetime can depend on many other factors too. In the paper we give out the survey of the sensor network lifetime and do some analysis.

[1]  Jianliang Xu,et al.  Extending Network Lifetime for Precision-Constrained Data Aggregation in Wireless Sensor Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[2]  Bhaskar Krishnamachari,et al.  Delay efficient sleep scheduling in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[3]  Brahim Bensaou,et al.  Tradeoff Between Lifetime and Rate Allocation in Wireless Sensor Networks: A Cross Layer Approach , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[4]  Bhaskar Krishnamachari,et al.  Maximizing Data Extraction in Energy-Limited Sensor Networks , 2004, IEEE INFOCOM 2004.

[5]  Andrea J. Goldsmith,et al.  Cross-Layer Design for Lifetime Maximization in Interference-Limited Wireless Sensor Networks , 2006, IEEE Transactions on Wireless Communications.

[6]  Hai Liu,et al.  Maximal lifetime scheduling in sensor surveillance networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[7]  Leandros Tassiulas,et al.  Energy conserving routing in wireless ad-hoc networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[8]  Di Tian,et al.  A node scheduling scheme for energy conservation in large wireless sensor networks , 2003, Wirel. Commun. Mob. Comput..

[9]  Roy D. Yates,et al.  Cooperative multicast for maximum network lifetime , 2005 .

[10]  IvanaMaric,et al.  Cooperative Broadcastfor Maximum Network Lifetime , 2004 .

[11]  Andrea Bianco,et al.  Maximizing system lifetime in wireless sensor networks , 2007, Eur. J. Oper. Res..

[12]  Stephan Olariu,et al.  Training a Wireless Sensor Network , 2005, Mob. Networks Appl..

[13]  Minglu Li,et al.  Target-oriented scheduling in directional sensor networks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[14]  Kay Römer,et al.  The design space of wireless sensor networks , 2004, IEEE Wireless Communications.

[15]  Rabi N. Mahapatra,et al.  Lifetime modeling of a sensor network , 2005, Design, Automation and Test in Europe.

[16]  Viktor K. Prasanna,et al.  Energy-latency tradeoffs for data gathering in wireless sensor networks , 2004, IEEE INFOCOM 2004.

[17]  Hanif D. Sherali,et al.  Rate allocation in wireless sensor networks with network lifetime requirement , 2004, MobiHoc '04.

[18]  Moslem Noori,et al.  A Probability Model for Lifetime of Wireless Sensor Networks , 2007, ArXiv.

[19]  Milind Dawande,et al.  Link scheduling in sensor networks: distributed edge coloring revisited , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[20]  Catherine Rosenberg,et al.  Design guidelines for wireless sensor networks: communication, clustering and aggregation , 2004, Ad Hoc Networks.

[21]  Ananth Krishnamurthy,et al.  Dynamic node activation in networks of rechargeable sensors , 2005, INFOCOM 2005.

[22]  Qunfeng Dong,et al.  Maximizing system lifetime in wireless sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[23]  Limin Wang,et al.  Sacrificing a Little Coverage Can Substantially Increase Network Lifetime , 2006, SECON.

[24]  T. V. Padmavathy Extending the Network Lifetime Using Optimized Energy Efficient Cross Layer Module (OEEXLM) in Wireless Sensor Networks , 2009, Wirel. Sens. Netw..

[25]  Pavan Nuggehalli,et al.  Enhancing Sensor Network Lifetime Using Interactive Communication , 2007, 2007 IEEE International Symposium on Information Theory.

[26]  Ivan Stojmenovic,et al.  Design Guidelines for Maximizing Lifetime and Avoiding Energy Holes in Sensor Networks with Uniform Distribution and Uniform Reporting , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[27]  Tian He,et al.  Differentiated surveillance for sensor networks , 2003, SenSys '03.

[28]  Dongfeng Yuan,et al.  Analysis of Lifetime of Large Wireless Sensor Networks Based on Multiple Battery Levels , 2008, Int. J. Commun. Netw. Syst. Sci..

[29]  Reuven Cohen,et al.  An Optimal Algorithm for Minimizing Energy Consumption while Limiting Maximum Delay in a Mesh Sensor Network , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[30]  Y.T. Hou,et al.  On energy provisioning and relay node placement for wireless sensor networks , 2005, IEEE Transactions on Wireless Communications.

[31]  Ivan Stojmenovic,et al.  Target transmission radius over LMST for energy-efficient broadcast protocol in ad hoc networks , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).