Abstract
The state of art pertaining to vertical handover decisions in next-generation wireless networks provides a detailed overview of vertical handover studies. This paper classifies the research initiatives under the vertical handover decision mechanism for heterogeneous wireless networks. A fair comparison of traditional and recent techniques is drafted to obtain direction of the vertical handover decision. Several issues related to seamless support on mobility management techniques have been described in the literature. The next-generation wireless network promises to offer enhanced data services compared to other networks in mobile communication. Since all next generation network (NGN) is an IP-based network, challenges drive toward providing quality of service in the handover process. The necessity of handover process is a seamless connection. The handover operations that minimize or even target the elimination of delay in new network connection establishment are most welcomed. However, frequent disconnection and inefficient seamless handovers result in handover operation failures. Most of the existing methods on handover decisions are based on mobile-controlled handovers. Here, the decisions are in-corporate in the mobile devices. Several mobile-controlled handovers take a single parameter or two or more additional parameters as a combination to evaluate the policy decision. These approaches are carefully studied and classified.
Similar content being viewed by others
References
M. Ismail, R. Nordin. Vertical handover solutions over LTE-advanced wireless networks: an overview [J]. Wireless Personal Communications, 2014, 77(4): 3051–3079.
N. Nasser, A. Hasswa, H. Hassanein. Handoffs in fourth generation heterogeneous networks [J]. IEEE Communications Magazine, 2006, 44(10): 96–103.
S. Mohanty, I. F. Akyildiz. A cross-layer (layer 2 + 3) handoff management protocol for next-generation wireless systems [J]. IEEE Transactions on Mobile Computing, 2006, 5(10): 1347–1360.
Y. Wang, H. Haas. Dynamic load balancing with handover in hybrid Li-Fi and Wi-Fi networks [J]. Journal of Lightwave Technology, 2015, 33(22): 4671–4682.
B. J. Chang, J. F. Chen. Cross-layer-based adaptive vertical handoff with predictive RSS in heterogeneous wireless networks [J]. IEEE Transactions on Vehicular Technology, 2008, 57(6): 3679–3692.
X. Yan, N. Mani, Y. A. Sekercioglu. A traveling distance prediction based method to minimize unnecessary handovers from cellular networks to WLANs [J]. IEEE Communications Letters, 2008, 12(1): 14–16.
R. Hussain, S. A. Malik, S. Abrar, et al. Vertical handover necessity estimation based on a new dwell time prediction model for minimizing unnecessary handovers to a WLAN cell [J]. Wireless Personal Communications, 2013, 71(2): 1217–1230.
T. M. D. Ali, M. Saquib. Analytical framework for WLAN-cellular voice handover evaluation [J]. IEEE Transactions on Mobile Computing, 2013, 12(3): 447–460.
X. Yan, Y. A. Sekercioglu, S. Narayanan. A survey of vertical handover decision algorithms in Fourth Generation heterogeneous wireless networks [J]. Computer Networks, 2010, 54(11): 1848–1863.
S. K. Lee, K. Sriram, K. Kim, et al. Vertical handoff decision algorithms for providing optimized performance in heterogeneous wireless networks [J]. IEEE Transactions on Vehicular Technology, 2009, 58(2): 865–881.
M. M. Q. Al-Ghadi, I. M. Ababneh, W. E. Mardini. Performance study of SINR scheme for Vertical Handoff in wireless networks [J]. Information & Communication Systems, 2011: 137.
D. Ma, M. Ma. A QoS oriented vertical handoff scheme for WiMAX/WLAN overlay networks [J]. IEEE Transactions on Parallel and Distributed Systems, 2012, 23(4): 598–606.
D. W. Lee, G. T. Gil, D. H. Kim. A cost-based adaptive handover hysteresis scheme to minimize the handover failure rate in 3GPP LTE system [J]. EURASIP Journal on Wireless Communications and Networking, 2010, 2010(1): 750173.
K. H. Hong, S. K. Lee, L. Y. Kim, et al. Cost-based vertical handover decision algorithm for WWAN/WLAN integrated networks [J]. EURASIP Journal on Wireless Communications and Networking, 2009, 2009: 15.
D. He, C. Chi, S. Chan, et al. A simple and robust vertical handoff algorithm for heterogeneous wireless mobile networks [J]. Wireless Personal Communications, 2011, 59(2): 361–373.
R. M. Rodr´iguez-Dagnino, H. Takagi. Application of renewal theory to call handover counting and dynamic location management in cellular mobile networks [J]. European Journal of Operational Research, 2010, 204(1): 1–13.
E. A. Alyousfi, M. M. Alkhawlani. Optimization of vertical handover performance using elimination based MCDM algorithm [J]. Journal of Science & Technology, 2016, 21(1).
Z. Becvar, P. Mach, B. Simak. Improvement of handover prediction in mobile WiMAX by using two thresholds [J]. Computer Networks, 2011, 55(16): 3759–3773.
R. M. Abdullah, A. Abdullah, N. A. W. A. Hamid, et al. A network selection algorithm based on enhanced access router discovery in heterogeneous wireless networks [J]. Wireless Personal Communications, 2014, 77(3): 1733–1750.
Y. Zhang, L. Chen, Z. Zheng. A utility-based optimal joint call admission control scheme with vertical handoff in heterogeneous wireless networks [J]. Journal of Computers, 2013, 8(12): 3152–3159.
M. N. Hindia, A. W. Reza, K. A. Noordin, et al. Enhanced seamless handover algorithm for WiMAX and LTE roaming [J]. Advances in Electrical and Computer Engineering, 2014, 14(4): 9–14.
S. Liang, Y. Zhang, B. Fan, et al. Multi-attribute vertical handover decision-making algorithm in a hybrid VLC-femto system [J]. IEEE Communications Letters, 2017, 21(7): 1521–1524.
T. Ali, M. Saquib. Analysis of an instantaneous packet loss based vertical handover algorithm for heterogeneous wireless networks [J]. IEEE Transactions on Mobile Computing, 2014, 13(5): 992–1006.
C. L. Yang, J. X. Wang, H. Yu, et al. A velocity and transmission environment based handover algorithm for heterogeneous networks [J]. Applied Mechanics & Materials, 2014, 548-549: 1359–1362.
H. H. Choi. An optimal handover decision for throughput enhancement [J]. IEEE Communications Letters, 2010, 14(9): 851–853.
P. Bellavista, A. Corradi, L. Foschini. Context-aware handoff middleware for transparent service continuity in wireless networks [J]. Pervasive and Mobile Computing, 2007, 3(4): 439–466.
M. Zekri, B. Jouaber, D. Zeghlache. Context aware vertical handover decision making in heterogeneous wireless Networks [C]//IEEE 35th Conference on Local Computer Networks (LCN), Denver, 2010: 764–768.
S. Lahde, M. Doering, L. Wolf. Dynamic transport layer handover for heterogeneous communication environments [J]. Computer Communications, 2007, 30(17): 3232–3238.
H. Alhazmi, N. Akkari. An overview of context-aware vertical handover schemes in heterogeneous networks [J]. International Journal of Computer Science & Engineering Survey, 2011, 2(4): 33–44.
A. Sarma, S. Chakraborty, S. Nandi. Deciding handover points based on context-aware load balancing in a WiFi-WiMAX heterogeneous network environment [J]. IEEE Transactions on Vehicular Technology, 2016, 65(1): 348–357.
O. Khattab, O. Alani. A survey on media independent handover (MIH) and IP multimedia subsystem (IMS) in heterogeneous wireless networks [J]. International Journal of Wireless Information Networks, 2013, 20(3): 215–228.
Y. Kim, S. Pack, C. G. Kang, et al. An enhanced information server for seamless vertical handover in IEEE 802.21 MIH networks [J]. Computer Networks, 2011, 55(1): 147–158.
Y. K. Salih, O. H. See, S. Yussof. MIH: state of art and a proposed future direction in the heterogeneous wireless networks [J]. Journal of Applied Sciences, 2012, 12(13): 1318–1331.
M. Khan, K. Han. A Review of handover techniques in wireless Ad hoc networks based on IEEE 802.21 media independent handover standard [J]. IETE Technical Review, 2014, 31(5): 353–361.
E. M. Malathy, M. Vijayalakshmi. Knapsack-TOPSIS technique for vertical handover in heterogeneous wireless network [J]. PloS One, 2015, 10(8): 1–16.
J. Zhou, C. Y. Zhu. Compensatory analysis and optimization for MADM for heterogeneous wireless network selection [J]. Journal of Electrical and Computer Engineering, 2016, 2016: 7539454.
A. Chinnappan, R. Balasubramanian. ComplexityCconsistency tradeoff in multi-attribute decision making for vertical handover in heterogeneous wireless networks [J]. IET Networks, 2016, 5(1): 13–21.
E. S. Navarro, J. D. Morales, U. P. Rico. Evaluation of vertical handoff decision algorightms based on madm methods for heterogeneous wireless networks [J]. Journal of Applied Research and Technology, 2012, 10(4): 534–548.
G. Tamea, M. Biagi, S. Member, et al. Soft multi-criteria decision algorithm for vertical handover in heterogeneous networks [J]. IEEE Communications Letters, 2011, 15(11): 1215–1217.
I. Chamodrakas, D. Martakos. A utility-based fuzzy TOPSIS method for energy efficient network selection in heterogeneous wireless networks [J]. Applied Soft Computing, 2012, 12(7): 1929–1938.
M. Kumru, P. Y. Kumru. A fuzzy ANP model for the selection of 3D coordinate-measuring machine [J]. Journal of Intelligent Manufacturing, 2015, 26(5): 999–1010.
R. Trestian, O. Ormond, G. M. Muntean. Performance evaluation of MADM-based methods for network selection in a multimedia wireless environment [J]. Wireless Networks, 2015, 21(5): 1745–1763.
R. Trestian, O. Ormond, G. M. Muntean. Enhanced power-friendly access network selection strategy for multimedia delivery over heterogeneous wireless networks [J]. IEEE Transactions on Broadcasting, 2014, 60(1): 85–101.
J. Márquez-Barja, C. T. Calafate, J. C. Cano, et al. An overview of vertical handover techniques: Algorithms, protocols and tools [J]. Computer Communications, 2011, 34(8): 985–997.
M. Elhoseny, A. Tharwat, A. Farouk, et al. K-coverage model based on genetic algorithm to extend wsn lifetime [J]. IEEE Sensors Letters, 2017, 1(4): 1–4.
X. Yuan, M. Elhoseny, H. K. El-Minir, et al. A genetic algorithmbased, dynamic clustering method towards improved WSN longevity [J]. Journal of Network and Systems Management, 2017, 25(1): 21–46.
M. A. Ben-Mubarak, B. M. Ali, N. K. Noordin, et al, Fuzzy logic based self-adaptive handover algorithm for mobileWiMAX [J]. Wireless Personal Communications, 2013, 71(2): 1421–1442.
V. Kantubukta, S. Maheshwari, S. Mahapatra, et al. Energy and quality of service aware FUZZY-technique for order preference by similarity to ideal solution based vertical handover decision algorithm for heterogeneous wireless networks [J]. IET Networks, 2013, 2(3): 103–114.
M. Zekri, B. Jouaber, D. Zeghlache. A review on mobility management and vertical handover solutions over heterogeneous wireless networks [J]. Computer Communications, 2012, 35(17): 2055–2068.
A. G. Mahira, M. S. Subhedar. Handover decision in wireless heterogeneous networks based on feedforward artificial neural network [M]//Computational Intelligence in Data Mining. Springer, Singapore, 2017: 663–669.
A. S. Sadiq, K. A. Bakar. A fuzzy logic approach for reducing handover latency in wireless networks [J]. Network Protocols and Algorithms, 2011, 2(4): 61–87.
C. A. Sgora, A. Gizelis, D. D. Vergados. Network selection in a WiMAXCWiFi environment [J]. Pervasive and Mobile computing, 2011, 7(5): 584–594.
M. Sharma, R. K. Khola. Fuzzy logic based handover decision system [J]. International journal of Ad hoc, Sensor & Ubiquitous Computing, 2012, 3(4): 21–29.
M. Elhoseny, X. Yuan, Z. Yu, et al. Balancing energy consumption in heterogeneous wireless sensor networks using genetic algorithm [J]. IEEE Communications Letters, 2015, 19(12): 2194–2197.
Author information
Authors and Affiliations
Corresponding author
Additional information
E. M. Malathy [corresponding author] is an Assistant Professor in the Department of Information Technology, SSN college of Engineering Kalavakkam, Tamil Nadu, India. She received her B.S. degree in Electronics and Instrumentation Engineering from the Government College of Technology, Coimbatore, India. She received her M.E. degree in System Engineering and Operation Research from College of Engineering, Guindy, Anna University. She is now pursuing her Ph.D. degree at College of Engineering, Guindy, Anna University. Her current research work is on optimization of handover decisions in next generation wireless networks. Her research interests include mobile computing, operation research, Modeling & Simulation, Multi-objective Optimization, etc. (Email: malathyem@ssn.edu.in)
Vijayalakshmi Muthuswamy is an Assistant Professor in the Department of Information Science and Technology, Anna University, Chennai. She received her M.E. and Ph.D. degrees from Anna University. She has published 50 articles in journals and conferences. Her research interests include computer networks, mobile cloud, cloud computing. (Email: vijim@ annauniv.edu)
Rights and permissions
About this article
Cite this article
Malathy, E.M., Muthuswamy, V. State of Art: Vertical Handover Decision Schemes in Next-Generation Wireless Network. J. Commun. Inf. Netw. 3, 43–52 (2018). https://doi.org/10.1007/s41650-018-0009-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s41650-018-0009-2