In collaboration with Payame Noor University and the Iranian Society of Instrumentation and Control Engineers

Document Type : Applied Article

Authors

1 Computer Department, Ferdowsi University of Mashhad, Mashhad, Iran.

2 Department of Computer Engineering and Information Technology, Payame Noor University, Tehran, Iran.

3 Electrical Engineering Department‎, ‎Ferdowsi University of Mashhad‎, ‎Mashhad‎, ‎Iran‎.

Abstract

Estimating the target parameter while the prior distribution function is known‎, ‎and several observations which are provided by the sensor node is the main goal in this paper‎. ‎In wireless sensor networks (WSN)‎, ‎nodes sense the environment and send data to a sink node called Fusion Center (FC)‎. ‎FC collects data and estimates the observed parameter with user-defined precision‎. ‎The proposed algorithm increases network lifetime and has an efficient estimation process‎. ‎For this purpose‎, ‎the proposed algorithm schedules node’s activity and determines the multihop path between nodes and FC‎. ‎Simulation and performance analysis demonstrates proposed algorithm fulfills its goals.

Keywords

[1] Ayanoglu E. 1990. “On optimal quantization of noisy sources”, IEEE Trans. Inf. Theory, 36(6), 1450–1452.
[2] Aysal T.C., Barner K.E. 2008. “Constrained decentralized estimation over noisy channels for sensor networks”, IEEE Transaction on Signal Processing, 56(4), 1398-1410.
[3] Akyildiz I.F., Su W., Sankarsubramaniam Y., Cayirci E. 2002. “Wireless sensor networks: A survey”, Computer Network, 38, 393–422.
[4] Akyildiz I.F., Su W., Sankarasubramaniam W., Cayirci E. 2002. “A survey on sensor networks.”, IEEE Communication Magazine, 102–114.
[5] Bertrand A. Moonen M. 2011. “Distributed adaptive estimation of node-specific signals in wireless sensor networks with a tree topology”, IEEE Transaction on Signal Processing, 59(5).
[6] Cui S., Goldsmith A., Bahai A. 2004. “Joint modulation and multiple access optimizations under energy constraints”, Proc. IEEE Global Telecomm. Conf., Dallas, Texas, 151–155.
[7] Chair Z., Varshney P.K. 1998. “Distributed Bayesian hypothesis testing with distributed data fusion”, IEEE Trans. Syst., Man, Cybern., 18, 695–699.
[8] Chen H. 2010. “Performance-energy tradeoffs for decentralized estimation in a multi-hop sensor network”, IEEE Sensors Journal, 10(8).
[9] Cheng C.T., Tse C.K., Lao F.C.M. 2010. “An energy-aware scheduling scheme for wireless sensor networks”, IEEE Transactions on Vehicular Technology, 59(7).
[10] Cohen R., Kapchits B. 2009. “An optimal wake-up scheduling algorithm for minimizing energy consumption while limiting maximum delay in a mesh sensor network”, IEEE/ACM Transactions on Networking, 17(2).
[11] Chaudhary M.H. Vandendorpe L. 2012. “Power constrained linear estimation in wireless sensor networks with correlated data and digital modulation”, IEEE Transaction on Signal Processing, 60(2).
[12] Dardari D., Conti A., Burrati C., Verdone R. 2007. “Mathematical evaluation of environmental monitoring estimation error through energy-effcient wireless sensor networks”, IEEE Transaction on Mobile Computing, 6(7). 100.
[13] Feng W. 2020. “Joint energy-saving scheduling and secure routing for critical event reporting in wireless sensor networks”, IEEE Access, 8.
[14] Fitzgerald E. 2018. “Energy-optimal data aggregation and dissemination for the internet of things”, IEEE Internet of Things Journal.
[15] Gross D., Shortle J.F., Thompson J.M., Harris C.M. 2008. “Fundamentals of queuing Theory”, Fourth Edition, John Wiley and Sons.
[16] Incel Z.D., Ghosh A., Krishnamachari B., Chintalapudi K. 2012. “Fast data collection in tree-based wireless sensor networks”, IEEE Transactions on Mobile Computing, 11(1).
[17] Karkvandi H. R., Pecht E., Yadid-Pecht O. 2011. “Effective lifetime-aware routing in wireless sensor networks”, IEEE Sensors Journal, 11(12).
[18] Lam A., Reibman, A. 1993. “Quantizer design for decentralized systems with communication constraints”, IEEE Trans. Commun., 41, 1602–1605.
[19] Luo Z.Q. 2005. “Universal decentralized estimation in a bandwidth constrained sensor network”, IEEE Transaction on Information Theory, 51(6).
[20] LI J., AlRegib G. 2007. “Rate-constrained distributed estimation in wireless sensor networks”, IEEE Transaction on Signal Processing, 55(5).
[21] LI J., AlRegib G. 2009. “Network lifetime maximization for estimation in multi-hop wireless sensor networks”, IEEE Transactions on Signal Processing, 57(7).
[22] Liu F., Tsui C-Y, Zhang Y.J. 2010. “Joint routing and sleep scheduling for lifetime maximization of wireless sensor networks”, IEEE Transactions on Wireless Communications, 9(7).
[23] Lehman E.L., Casella G. 1983. “Theory of point estimation”, 2nd Edition, Springer.
[24] Lehman E.L. 1997. “Testing statistical hypothesis”, 2nd Edition, Springer.
[25] Noori M. Ardakani M. 2011. “Energy effcient of universal decentralized estimation in random sensor networks”, IEEE Transactions on Wireless Communication, 10(12).
[26] Ribeiro A., Giannakis G.B. 2006. “Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function”, IEEE Transaction on Signal Processing, 54(7).
[27] Ryu J., Lee C.G., Kwon T.T., Han J. 2009. “Combined scheduling and routing for deterministic guarantee of end-to-end deadlines in cell structured sensor networks”, IEEE Sensors Journal, 9(10).
[28] Sichitiu M.L. 2004. “Cross-layer scheduling for power effciency in wireless sensor networks”, Proceedings of INFOCOM 2004, Hong Kong, 2, 266-276.
[29] Shi L. 2010. “Resource optimization in a wireless sensor network with guaranteed estimator performance”, IET Control Theory and Applications, 4 (5).
[30] Tang S. Li W. 2006. “QoS supporting and optimal energy allocation for a cluster based wireless sensor network”, Computer Communications.
[31] Willsky A.S., Bello M., Castanon D.A., Levy B.C., Verghese G. 1982. “Combining and
updating of local estimates and regional maps along with sets of one-dimensional tracks”, IEEE Trans. Autom. Control, AC-27, 799–813.
[32] Wu Y., Li X-Y, Liu Y., Lou W. 2010. “Energy-effcient wake-up scheduling for data collection and aggregation”, IEEE Transactions on Parallel and Distributed Systems, 21(2).
[33] Wang H., Yang Y., Ma M., He J., Wang X. 2008. “Network lifetime maximization with cross-layer design in wireless sensor networks”, IEEE Transactions Wireless Commun., 7(10), 3759-3768.
[34] Xiao J.J., Ribeiro A., Luo Z.Q., Giannakis G.B. 2006. “Distributed compression-estimation using wireless sensor networks”, IEEE Signal Processing Magazine, 23(4), 27–41.
[35] Xiao J.J., Cui S., Luo Z.Q., Goldsmith A.J. 2006. “Power scheduling of universal decentralized estimation in sensor networks”, IEEE Transaction on Signal Processing, 54(2).