A Data Centric Storage based on Adaptive Local Trajectory for Sensor Networks

ABSTRACT Sensor nodes are used as a storage space in the data centric storage method for sensor networks. Sensor nodes save the data to the node which is computed by hash table and users also access to the node to get the data by using hash table. One of the problems which the data centric storage method has is that queries from many users who are interested in the popular data could be concentrated to one node. In this case, responses for queries could be delayed and the energy of heavy loaded node could be dissipated fast. This would lead to reduction of network life time. In this paper, ALT, Data Centric Storage based on Adaptive Local Trajectory, is proposed as scalable data centric storage method for sensor network. ALT constructs trajectory around the storage node. The scope of trajectory is increased or decreased based on the query frequency. ALT distributes the query processing loads to several nodes so that delay of response is reduced and energy dissipation is also distributed.Key Words:Data Storage, Load Distribution, Trajectory, Adaptive, Query Frequency

[1]  Klaus Rindtorff,et al.  Pervasive Computing: Technology and Architecture of Mobile Internet Applications , 2002 .

[2]  Mohamed F. Younis,et al.  A survey on routing protocols for wireless sensor networks , 2005, Ad Hoc Networks.

[3]  A. Capone,et al.  A SiFT: an efficient method for trajectory based forwarding , 2005, 2005 2nd International Symposium on Wireless Communication Systems.

[4]  Dragos Niculescu.  Communication paradigms for sensor networks , 2005, IEEE Communications Magazine.

[5]  Antonio Alfredo Ferreira Loureiro,et al.  Data dissemination in autonomic wireless sensor networks , 2005, IEEE Journal on Selected Areas in Communications.

[6]  Hyunjeong Lee,et al.  Managing mechanism for service compatibility and interaction issues in context-aware ubiquitous home , 2005, IEEE Transactions on Consumer Electronics.

[7]  Ahmed Helmy,et al.  Rendezvous regions: a scalable architecture for service location and data-centric storage in large-scale wireless networks , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

[8]  Brad Karp,et al.  GPSR: greedy perimeter stateless routing for wireless networks , 2000, MobiCom '00.

[9]  Nitin H. Vaidya,et al.  Efficient content location in wireless ad hoc networks , 2004, IEEE International Conference on Mobile Data Management, 2004. Proceedings. 2004.

[10]  Murat Yuksel,et al.  An implementation framework for trajectory-based routing in ad-hoc networks , 2004, ICC.

[11]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[12]  Yeonghwan Tscha,et al.  Query slipping prevention for trajectory-based publishing and subscribing in wireless sensor networks , 2006, Comput. Commun..

[13]  Ying Zhang,et al.  Combs, needles, haystacks: balancing push and pull for discovery in large-scale sensor networks , 2004, SenSys '04.