Browse > Article

Ant-based Routing in Wireless Sensor Networks  

Ok, Chang-Soo (홍익대학교 공과대학 산업공학과)
Publication Information
Abstract
This paper proposes an ant-based routing algorithm, Ant System-Routing in wireless Senor Networks(AS-RSN), for wireless sensor networks. Using a transition rule in Ant System, sensors can spread data traffic over the whole network to achieve energy balance, and consequently, maximize the lifetime of sensor networks. The transition rule advances one of the original Ant System by re-defining link cost which is a metric devised to consider energy-sufficiency as well as energy-efficiency. This metric gives rise to the design of the AS-RSN algorithm devised to balance the data traffic of sensor networks in a decentralized manner and consequently prolong the lifetime of the networks. Therefore, AS-RSN is scalable in the number of sensors and also robust to the variations in the dynamics of event generation. We demonstrate the effectiveness of the proposed algorithm by comparing three existing routing algorithms: Direct Communication Approach, Minimum Transmission Energy, and Self-Organized Routing and find that energy balance should be considered to extend lifetime of sensor network and increase robustness of sensor network for diverse event generation patterns.
Keywords
Wireless Sensor Networks; Distributed Control; Energy Balance; Ant System; Ant Colony Optimization; Routing Algorithm;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Rogers, A., E. David and N.R. Jennings, "Selforganized routing for wireless microsensor networks," IEEE Transactions on Systems, Man and Cybernetics, Part A, Vol.35, No.3 (2005), pp.349-359.   DOI   ScienceOn
2 Michel, R. and M. Middendorf, "An Island Model Based Ant System with Lookahead for the Shortest Supersequence Problem," the 5th International Conference on Parallel Problem Solving from Nature, (1998), pp.692- 701.
3 Ye, W., J. Heidemann, and D. Estin, "Medium Access Control with Coordinated Adaptive Sleeping for Wireless Sensor Networks," IEEE/ACM Transaction on networking, Vol.12, No.3(2004), pp.493-506.   DOI   ScienceOn
4 Gandham, S.R., M. Dawande, R. Prakash, and S. Venkatesan, "Energy Efficient Schemes for Wireless Sensor Networks with Multiple Mobile Base Stations," Proceedings of IEEE Globecom, (2003), pp.377-381.
5 Chang, J. and L. Tassiulas, "Maximum Lifetime Routing in Wireless Sensor Networks," IEEE/ACM TRANSACTION ON NETWORKING, Vol.12, No.4(2004), pp.609-619.   DOI   ScienceOn
6 Bandyopadhyay, S., C. Giannella, U. Maulik, H. Kargupta, K. Liu, and S. Datta, "Clustering distributed data streams in peer-to-peer environments," Information Sciences, Vol. 176, No.10(2006), pp.2188-2205.
7 Ren, Q. and Q. Liang, "Energy and quality aware query processing in wireless sensor database systems," Information Sciences, Vol.177, No.20(2007), pp.4526-4538.   DOI   ScienceOn
8 Dorigo, M., "Ottimizzazione, apprendimento automatico, ed algoritmi basati su metafora naturale," in Dipartimento di Elettronica, Ph.D. Politecnico di Milano, 1992.
9 Maniezzo, V. and A. Colorni, "The Ant System Applied to the Quadratic Assignment Problem," Knowledge and Data Engineering, Vol.11, No.5(1999), pp.769-778.   DOI   ScienceOn
10 S. Van Der Zwaan and C. Marques, "Ant Colony Optimisation for Job Shop Scheduling," in the Third Workshopon Genetic Algorithms and Artificial Life Lisbon(1999), Portugal.
11 Costa, D. and A. Hertz, "Ants can colour graphs," Journal of Operational Research Society, Vol.48(1997), pp.295-305.   DOI
12 Bullnheimer, B., R. Hartl and C. Strauss, "An improved Ant System algorithm for theVehicle Routing Problem" Annals of Operations Research, Vol.89(2004), pp.319-328.
13 Gambardella, L.M. and M. Dorigo, "HASSOP : Hybrid Ant System for the Sequential Ordering Problem," in TechnicalReport : IDSIA-11-97, 1997.
14 Zhang, Y., L.D. Kuhn and M.P.J. Fromherz, "Improvements on Ant Routing for Sensor Networks," Lecture Notes in Computer Science, Vol.3172(2004), pp.154-165.
15 Schoonderwoerd, R., O.E. Holland, J.L. Bruten, and L.J.M. Rothkrantz, "Ant-Based Load Balancing in Telecommunications Networks," Adaptive Behavior, Vol.5, No.2(1997), pp.169-207.   DOI   ScienceOn
16 Caro, G.D. and M. Dorigo, "AntNet: Distributed Stigmergetic Control for Communications Networks," Journal of Artificial Intelligence Research, Vol.9(1998), pp.317-365.
17 White, T., B. Pagurek, and F. Oppacher, "Connection Management using Adaptive Agents," 1998 International Conference on Parallel and Distributed Processing Techniques and Applications(PDPTA'08), 1998.
18 Okdem, S. and D. Karaboga, "Routing in Wireless Sensor Networks Using Ant Colony Optimization," The first NASA/ESA conference on Adaptive Hardware and Systems, (2006), pp.401-404.
19 Thadakamalla, H.P., S. Kumara, and R. Albert, "Search in weighted complex networks," Physics Review E., Vol.72(2005).
20 Braginsky, D. and D. Estin, "Rumor Routing Algorithm for Sensor Networks," Proceedings of the first Workshop on Sensor Networks and Applications (WSNA)(2002), pp. 22-31.
21 Butler, Z. and D. Rus, "Event-based motion control for mobile-sensor networks," IEEE Pervasive Computing, Vol.2, No.4(2003), pp.34-42.   DOI   ScienceOn
22 M. Dorigo and L.M. Gambardella, "Ant Colony System : A Cooperative Learning Approach to the Traveling Salesman Problem," IEEE Transactions on Evolutionary Computation, Vol.1, No.1(1997), pp.53-66.   DOI   ScienceOn
23 Ok, C.-S., P. Mitra, S. Lee, and S. Kumara, "Maximum Energy Welfare Routing in Wiress Sensor Networks," Networking, LNCS 4479(2007), pp.203-214.
24 OK, C.-S., S.-C. Lee, P. Mitra, and S. Kumara, "Distributed Energy Balanced Routing for Wireless Sensor Networks," Computers and IE, Vol.57, No.1(2009), pp.125-135.
25 Lindsey, S., C. Raghavendra, and K. M. Sivalingam, "Data Gathering Algorithms in Sensor Networks Using Energy Metrics," IEEE Transactions on Parallel and Distributed Systems, Vol.13, No.9(2002), pp.924-935.   DOI   ScienceOn
26 Zhang, H. and J. C. Hou, "Maximizing $\alpha$-Lifetime for Wireless Sensor Networks," SenMetrics, (2005), pp.70-77.
27 Wanger, J. and R. Cristescu, "Power Control for Target Tracking in Sensor Networks," Conference on Information Sciences and Systems, 2005.
28 Wattenhofer, R., L. Li, P. Bahl, and Y. Wang, "Distributed topology control for power efficient operation in multihop wireless ad hoc networks," INFORCOM, (2001), pp.1388- 1397.
29 Ramanathan, R. and R. Rosales-Hain, "Topology Control of Multihop Wireless Networks using Transmit Power Adjustment," INFOCOM, (2000), pp.404-413.
30 Heinzelman, W.R., A. Chandrakasan, and H. Balakrishnan, "Energy-Efficient Communication Protocol for Wireless Microsensor Networks," Proceedings of the 33rd Hawaii International Conference on System Sciences, (2000), pp.1-10.
31 IEEE.802.11, Wireless LAN Medium Access Control(MAC) and Physical Layer(PHY) Specification(1999).
32 Akyildiz, I.F., W. Su, Y. Sankarasubramaniam, and E. Cayirci, "A survey on Sensor Networks," IEEE Communications Magazine, Vol.38, No.8(2002), pp.102-114.
33 Estrin, D., R. Govindan, J. Heidemann, and S. Kumar, "Next century challenges : scalable coordination in sensor networks," Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking, (1999), pp.263-270.