Localization Method for Wireless Sensor Networks ‎Using Nero-Fuzzy

Subject Areas : Electrical Engineering

Ahmad Javan bakht ¹ , Abolghasem Alibeiki ²

1 - Department of Computer Engineering, Azadshar Branch, Islamic Azad University, Azadshahr, Iran
2 - Department of Computer Engineering, Gonbad Branch, Islamic Azad University, Gonbad, Iran

Received: 2021-03-20 Accepted : 2021-06-19 Published : 2021-06-01

Keywords: Sensor network, Anchor node, Ad-hoc localization system, Fuzzy logic ‎,

Abstract :

A wireless sensor network (W SN) includes a series of nods , each of them containing some sensors which have a role in gathering data about the circuit in which they are distributed. Sensor networks enjoy variety of uses ; that is why they are attracted by many countries . In a wireless sensor network , few nods have already known their position which are called anchor node ; other nods must calculate their position accordingly . In this essay “ received signal strength indicator ” and “ Nero-Fuzzy ” are used in order to calculate unspecified - position nods ’ coordinate . Each unspecified - position node must know the position of some nearing anchor nodes . The more the nodes are , the more precise the coordinate is . In this essay , unspecified node ’ s coordinate is estimated according to two or more anchor nodes using logic fuzzy . Since the range covered by sensor networks is broad , finding all anchor nodes is a time - consuming task and needs a lot of memory . Therefore , distance limit between anchor nodes and unspecified nodes is considered . The area around anchor nodes and unspecified nodes is divided reticulated , and then , the unspecified node ’ s coordinate is estimated according to logic fuzzy rules . The estimated average error rate for 120 nodes using this method equals to 2 % of radio range , which is minimal in comparison to APS algorithm .

References:

[1] A. Bharathidasan, V. Anand Sai Ponduru "Sensor Networks ", IEEE communication magazine, August, 2002.

[2] D. Niculescu, B. Nath, " Ad hoc positioning system (aps) ", IEEE Globecom conf., pp. 2926-2931, 2001.

[3] A. Savvides, C.-C. Han, and M. Srivastava, ” Dynamic Fine-Grained Localization in Ad-Hoc Networks of  Sensors”  7th Annual International Conference on Mobile Computing and Networking, pages 166–179. ACM press, Rome, Italy, July 2001.

[4] V. Tam, K. Cheng and K. S. Lui, "Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks ", Journal of  COMMUNICATIONS, Vol. 1, No. 4, pp.1-10, JULY 2006.

[5] K. Amouris, S. Papavassiliou, M. Li, “A Position-Based Multi-Zone Routing Protocol for Wide Area Mobile Ad-Hoc Networks” VTC 99.

[6] J.Li, J. Jannotti, D. S. J. DeCouto, D. R. Karger and R. Morris, “A Scalable Location Service for Geographic Ad-Hoc Routing” ACM Mobile Communications Conference, Boston, Massachusetts, pp. 6-11, 2000.

[7] X. Shen, Z. Wang, P; Jiang, R. lin and Y. Sun, "Connectivity and RSSI Based Localization Scheme for Wireless Sensor Networks", Journal of Telecommunication Systems, 2003.

[8] V. Ramadurai and M. L. Sichitiu. “Localization in Wireless Sensor Networks: A Probabilistic Approach.” In Proceedings of 2003 International Conference on Wireless Networks (ICWN 2003), pp. 300–305, June 2003.

[9] K. Cheng, V. Tam and K. Lui, " Improving Aps with Anchor Selection in Anisotropic Networks", In proceedings of International Conference on Networking and Services (ICN.OS), 2015.

[10] K. D. Frompton, "Acoustic Self –Localization in a Distributed Sensor Network" IEEE Sensors Journal, Vol. 6, No.1, 2006.

[11] P. Bahl and V. N. Padmanabhan.” RADAR: An In-Building RF-Based User Location and Tracking System” IEEE INFOCOM, pages 775–784, 2000.

[12] Q. Xiao, Member, IEEE, Bin Xiao, Senior Member, IEEE, Member, ACM, Kai Bu, andJ. Cao, Senior Member, IEEE, Member, ACM “Iterative Localization of Wireless Sensor Networks: An Accurate and Robust Approach“ IEEE/ACM TRANSACTIONS ON NETWORKING, pp.1063-6692, 2013.

[13] B. Xiao, L. Chen, Q. Xiao, and M. Li, “Reliable anchor-based sensor Localization in irregular areas,” IEEE Trans. Mobile Compute., vol. 9,no. 1, pp. 60–72, Jan. 2010.

[14]Q. Xiao, B. Xiao, J. Cao, and J. Wang, “Multichip range-free localization in anisotropic wireless sensor networks: A pattern-driven scheme,” IEEE Trans. Mobile Compute., vol. 9, no. 11, pp. 1592–1607,2010.

[15] H. Lim, J. C. How, "Localization for Anisotropic Sensor Networks", in IEEE Infocom, vol. 5,no. 2, pp. 69–82, 2005.

 [16] A.gopaldharne, jaeyong lee and suhadajayasuriya., “Using Fuzzy Logic for Localizaition in Mobile Sensor Networks: Simulations and Experiments “American Control Conference, 2006.

[17]LOTFI A. ZADEH. “Fuzzy Logic, Neural Networks, and Soft Computing “. Communication of the ACM, March

vol. 6,no. 5, pp. 61–75, 1994.

[18]L.Pirmez Flavia C. Delicato, Paulo F. Pires, Ana L. Mostardinha and nelson S. de Rezende. “Applying fuzzy logic for decision-making on Wireless Sensor Networks” IEEE , 2007.

[19]Z. Yan, Yilin Chang, Zhong Shen, Ying Zhang (State Key Lab. Of Integrated Service Networks, Xidian Univ., Xi’an 710071, China), “A Grid-Scan Localization Algorithm for Wireless Sensor Network1”, International Conference on Communications and Mobile Computing,vol. 3,no. 2, pp. 165–177,2009

[20] C. Li, Yuanjie Li, Yu Shen, Linlang Liu, Qiying Cao College of Information Science and Technology, Donghua University, Shanghai, 201620, China, “An Optimization Algorithm for Wireless Sensor Networks Localization Using Multiplier Method” Third International Joint Conference on Computational Science and Optimization vol. 1,no. 5, pp. 101–127, 2010.

[21]M. Ali Jabrail Jamali, Fatemeh Nourani “Improved Circles Intersection Algorithm for Localization in Wireless Sensor Networks” 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel Distributed Computing. 2010.