The mobility pattern of sink in event-driven wireless sensor networks

IET Conference Publications

Volumn , Issue 529 CP, 2007, Pages 539-546

  Wang, Bin ^a   Xie, Dongliang ^a   Ma, Jian ^b   Cheng, Shiduan ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b NOKIA RESEARCH CENTER   (United States)

Author keywords

Event driven; Predictable mobility; Sink; Wireless sensor networks

Indexed keywords

ANALYTICAL MODEL; DELIVERY DELAY; EVENT-DRIVEN; MOBILITY PARAMETERS; MOBILITY PATTERN; MULTIHOP; OPTIMIZING ENERGY; PREDICTABLE MOBILITY; SIMULATION RESULT; SINK; SINK-IN;

SENSOR NETWORKS;

WIRELESS SENSOR NETWORKS;

EID: 67650099713     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/cp:20070744     Document Type: Conference Paper

References (6)

1. E. H. Callaway, Jr. (2003). Wireless Sensor Networks: Architectures and Protocols. Boca Raton, FL: Auerbach Publications
2. Z Vincze, D Vass, R Vida, A Vidács, A Telcs. (2006). Adaptive Sink Mobility in Event-driven Multi-hop Wireless Sensor Networks. Proceedings of the First International Conference on In-tegrated Internet Ad hoc and Sensor Networks
3. S. J. Rahul C. Shah, Sumit Roy and W. Brunette. (2003). Data MULEs: Modeling a three-tier architecture for sparse sensor networks. Proc., IEEE Workshop on SNPA, pp. 30-41
4. ZM Wang, S Basagni, E Melachrinoudis, C Petrioli. (2005). Exploiting Sink Mobility for Maximizing Sensor Networks Lifetime. HICSS'05
5. J Luo, JP Hubaux. (2005). Joint Mobility and Routing for Lifetime Elongation in Wireless Sen-sor Networks. -Proc., IEEE INFOCOM'05
6. A Chakrabarti, A Sabharwal, B Aazhang. (2003). Using Predictable Observer Mobility for Power Efficient Design of Sensor Networks. Information Processing in Sensor Networks