Lifetime elongation for wireless sensor network using queue-based approaches

Journal of Supercomputing

Volumn 59, Issue 3, 2012, Pages 1312-1335

  Jiang, Fuu Cheng ^a   Huang, Der Chen ^a   Yang, Chao Tung ^b   Leu, Fang Yi ^b  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^b TUNGHAI UNIVERSITY   (Taiwan)

Author keywords

Energy hole problem; Many to one network; Optimal policy; Queuing theory; Sink node; Wireless sensor networks

Indexed keywords

QUEUEING THEORY; WIRELESS SENSOR NETWORKS;

ENERGY-HOLE PROBLEMS; MANY-TO-ONE NETWORKS; OPTIMAL POLICIES; QUEUING THEORY; SINK NODES;

SENSOR NODES;

EID: 84879334180     PISSN: 09208542     EISSN: 15730484     Source Type: Journal    
DOI: 10.1007/s11227-010-0537-5     Document Type: Article

References (20)

1. Akyilidiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: A survey. Comput Netw 38(4):393-422
2. Culler D, Hong W (2004) Wireless sensor networks. Commun ACM 47(6):30-33
3. Ahuja SP, Myers JR (2006) A survey on wireless grid computing. J Supercomput 37:3-21
4. Jones CE, Sivalingam KM, Argawal P, Chen JC (2001) A survey energy efficient network protocols for wireless networks. Wirel Netw 7:343-358
5. Liu M, Cao J, Zheng Y (2008) An energy-efficient protocol for data gathering and aggregation in wireless sensor networks. J Supercomput 43:107-125
6. Li J, Mohapatra P (2005) An analytical model on the energy hole problem in many-to-one sensor networks. In: Proc of IEEE VTC fall 2005, Dallas, TX
7. Lian J, Naik K, Agnew G (2006) Data capacity improvement of wireless sensor networks using nonuniform sensor distribution. Int J Distrib Sens Netw 2(2):121-145
8. Wadaa A, Olariu S, Wilson L, Jones K, Eltoweissy M (2005) Training a sensor networks. Mob Netw Appl 10:151-168
9. Ye W, Heidmann J, Estrin D (2004) Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE Trans Netw 12(3):493-506
10. Shih E, Cho S, Lee FS, Calhoun BH (2004) Design considerations for energy-efficient radios in wireless microsensor networks. J VLSI Signal Process 37:77-94
11. Lin C, Xiong N, Park JH, Kim TH (2009) Dynamic power management in new architecture of wireless sensor networks. Int J Commun Syst 22:671-693
12. IEEE (2003) Wireless LAN Medium Control (MAC) and Physical Layer (PHY) Specification. IEEE Std 802.11-1999 edition (R2003
13. YeW, Heidemann J, Estrin D (2002) An energy efficient MAC protocol for wireless sensor networks. In: Proc IEEE INFOCOM, June 2002, pp 1567-1576
14. Polastre J, Hill J, Culler D (2004) Versatile low power media for wireless sensor networks. In: Proc ACM SenSys, Nov 3-5, 2004
15. Schurgers C, Tsiatsis V, SrivastavaM(2002) STEM: Topology management for energy efficient sensor networks. In: Aerospace conference proceedings, vol IEEE Press, New York, pp 3-1099-3-1108
16. Miller MJ, Vaidya NH (2005) A MAC protocol to reduce sensor network energy consumption using a wakeup radio. IEEE Trans Mob Comput, 4(3), 228-242
17. Gross D, Harries CM (1998) Fundamentals of queuing theory, 3rd edn. Wiley, New York
18. UCB/LBNL/VINT Network Simulator (2010) http://www-mash.cs.berkeley.edu/ ns/
19. Giridhar A, Kumar PR (2005) Maximizing the functional lifetime of sensor networks. In: Proc fourth ACM/IEEE international symposium information processing in sensor networks (IPSN05), April 2005, pp 5-12
20. Mann CR, Baldwin RO, Kharoufeh JP, Mullins BE (2008) A queueing approach to optimal resource replication in wireless sensor networks. Perform Eval 65:689-700