Thursday, April 4, 2019

Cross Layered Approach for Network Selection

vitiate degreeed Approach for Net ma zero(prenominal)uvre extractA Cross shapeed Approach for web Selection in Heterogeneous radio receiver NetworksM. Deva Priya, Dr. M. L Valarmathi, D.PrithvirajAbstract process delivery in a involved intercommunicate ensnare net environment requires the extract of an optimal nark mesh topology. Selection of a non-optimal vane great deal result in undesirable effects such as higher approachs or sad go experience. Consequently, network survival of the fittest techniques play a vital role in ensuring quality of go in heterogeneous networks. Network selection in such an environment is influenced by several factors, with contrasting relative importance, the admission charge network selection problem is usually looked at from the aspect of multi-criteria analysis. The proposed weapon is found on a modified Multi-Criteria Decision Making (MCDM) steps to assist the runny Subscriber displace (MSSs) in selecting the top candidate ne twork dynami adjurey. The performance analysis reveals that this network selection scheme yields a better results in selecting the better network.Keywords MCDM, uninflected Hierarchy fulfil (AHP), WiMAXWi-Fi ScenarioIntroductionThe 4th generation (4G) radio receiver networks aims at integrating various heterogeneous wireless access networks such as GPRS, 3G, Wi-Fi, WiMAX all oer an net profit Protocol (IP) backbone. With the integration of opposite access networks, wider ranges and higher Quality of Service (QoS) can be provided to the users. The following(a) generation wireless networks have been designed to provide support for multimedia work with different employment characteristics, different QoS guarantees and to satisfy different types of service level agreements (SLAs) for an increasing number of energetic users. The integration of different wireless network technologies is required to provide a seamless interoperability, integration and convergence among the heterog eneous technologies. some(prenominal) heterogeneous wireless networks that consist of Worldwide Interoperability for Microwave Access (WiMAX) and radio receiver Fidelity (Wi-Fi) networks have started to be operated.IEEE 802.16 WiMAXWiMAX, a broadband wireless technology, developed by the WiMAX Forum IEEE standard is establish on the 802.16 standard. The main aim is to provide high speed data transfers over the air. It has a frequency range of about 2-11 gigahertz for Non-Line-of- Sight and 10-66 gigacycle for Line of Sight. The signal range for Line of Sight and Non Line of Sight are 30 miles and 5 miles respectively.There are two types of WiMAX, say Fixed and Mobile WiMAX. WiMAX supports different types of traffics resembling Best Effort (BE), Unsolicited Grant Service (UGS), nrtPS (Non- Extended Real-Time Polling Service), rtPS (Extended Real-Time Polling Service) and ertPS (Extended Real-Time Polling Service).It is a technology for next generation with potential exercises such as cellular backhaul, hotspot, VoIP fluents and broadband connection and so forth Itis a standard ground wireless technology that provides internet access and multimedia services at very high speed to the end user.IEEE 802.11 Wi-FiWLAN (or WiFi) is an open-standard technology that enables wireless connectivity between equipments and local sphere of influence networks. Public access WLAN services are designed to deliver LAN services over short distances. Coverage extends over a 50 to 150 meter radius of the access point. connexion speeds range from 1.6 Mbps, which is comparable to fixed DSL transmission speed, to 11 Mbps Part 11 -1.New standards promise to addition speeds to 54 Mbps. Todays WLANs run in the unlicensed 2.4 GHz and 5 GHz radio spectrums Part 11 2. The 2.4 GHz frequency is already crowdedit has been allocated for several purposes besides WLAN service. The 5 GHz spectrum is a much larger bandwidth, providing higher speeds, greater reliability, and better th roughput Part 11 3.Handover ProcessWhen a Mobile Subscriber Station (MSS) moving in an overlapping area, continuous service must be indigence so the technique HANDOVER is done. The handover technique is mainly used to redirect the mobile users service network from current network to a new network or one base send out (BS) to another BS or one access point (AP) to another AP with same technology or among different technologies to reduce the kneading delay in the overlapping area. Handover technique has the two types, Horizontal Handover and upended Handover. The homogenous wireless network performs horizontal handover, if there are two BSs using the same access technology, in current system called horizontal handover. This type of mechanism use signal strength measurements for contact BSs to trigger and to perform the handover closing.In heterogeneous wireless networks, the MSS or BS will be fit with multiple network interfaces to reach different wireless networks. When an eme rging mix of overlapping heterogeneous wireless networks deployed, upright handover is used among the networks using different access technologies.Handover technique has the four fleshs Handover Initiation, brass discovery, Handover decision, Handoff execution.Handoff Initiation stage The handover process was modified by some criteria value like signal strength, link quality etc.System discovery phase It is used to decide which mobile user discovers its neighbour network and exchanges nurture about Quality of Service (QOS) offered by these networks.Handover Decision phase This phase compares the neighbour network QOS and the mobile users QOS with this QOS decision maker makes the decision to which network the mobile user has to direct the connection.Handoff Execution phase This phase is responsible for establishing the connection and release the connections and as well as the invocation of security service.The scope of our work is mainly in handover decision phase, as mentioned i n the decision phase decision makers must get the best network from available networks.Multi Criteria Decision MakingHandover decision problem deals with making selection among especial(a) number of candidate networks from various service providers and technologies with respect to different criteria. Network selection schemes can be categorized in to two kinds Fuzzy Logic base schemes and multiple criteria decision making (MCDM) based schemes. Three different approaches for the decision of the optimal access network selection are as follows the network centric, the user centric and the collaborative approaches Hwang, C. L, Meriem, K. In network centric approach, the decision for the access network selection is made at the network side with goal to optimize the network operators benefit. The bulk of network centric approaches are using game theory in order to select the network that will optimize the network operators profit. In the user centric approach, the decision is taken a t the user terminal based only on the minimization of the users cost without considering the network load balancing or other users. The selection of the access network is determined by using returns or cost or profit fails or by applying MCDM methods. The selection of an access network depends on several parameters with different relative importance such as the network and application characteristics, user preferences, service and cost etc., the access network selection problem can be work by applying different MCDM algorithmic rules. In the collaborative approach, the decision for the access network selection is made at the profits of both users and network operator. Multiple criteria decision making deals with the problem of selecting an alternative from a set of alternatives which are categorized in terms of their attributes. Generally there are two processes in MCDM techniques (1) free exercising weight and (2) Ranking. Most popular classical MADM algorithms are SAW, TOPSI S, AHP, and GRA.In Simple Additive Weighting (SAW), overall label of a candidate network is determined by weighting sum of all the attribute values. In Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the chosen candidate network is one which is closest to ideal solution and farthest from the worst case solution. Analytical hierarchical Process (AHP) decomposes the network selection problem in to several sub-problems and assigns a weight value for each sub-problem. rusty Relational Analysis (GRA) is then used to invest the candidate networks and selects the one with highest ranking.Related WorkA novel optimization utility is presented Pervaiz, Haris, Qiang Ni, and Charilaos C. Zarakovitis to incorporate the quality-of-service (QoS) dynamics of the available networks along with heterogeneous attributes of each user. The say network and user selection is modelled by an evolutionary game theoretical approach and replicator dynamics is puzzle out to seek an optimal stable solution by trust both self-control of users preferences and self-adjustment of networks parameters, our study innovates over related efforts.This paper Mehbodniya, Abolfazl, Faisal Kaleem, Kang K. Yen, and Fumiyuki Adachi presents a novel approach for the design and implementation of a multi-criteria vertical handoff decision algorithm for heterogeneous wireless networks based on the fuzzy extension of the Techniques for Order Preference by Similarity to Ideal Solution (TOPSIS) which is used to prioritize all the available networks within the coverage of the mobile user and to achieve seamless mobility while maximizing end-users satisfaction.A network selection mechanism based on two multi attribute decision making (MADM) methods namely multiple analytic pecking order process (M-AHP) and grey relational analysis (GRA) method is proposed Lahby, Mohamed, and Abdellah Adib. The M-AHP is used to weigh each criterion and GRA is used to rank the alternatives.This paper R ao, K. R., Zoran S. Bojkovic, and Bojan M. Bakmaz provides a survey on fundamental aspects of network selection process and deals with network selection concept as a perspective approach to the ever so best connected and served paradigm in heterogeneous wireless environment.A cross-layer architectural framework for network and channel selection in a Heterogeneous Cognitive Wireless Network (HCWN) Haldar, Kuheli Louha, Chittabrata Ghosh, and Dharma P. Agrawal is proposed. A novel probabilistic model for channel mixed bag based on its adjacent channels occupancy within the spectrum of an operating network is also introduced. Further, a modified Hungarian algorithm is implemented for channel and network selection among secondary users.A trip the light fantastic toe vertical handoff decision algorithm Liu, Chao, Yong Sun, Peng Yang, Zhen Liu, Haijun Zhang, and Xiangming Wen based on dynamic weight compensation is proposed. It also adopts the filtering mechanism to reduce the system c ost and improves the conventional algorithm by dynamic weight compensation and amity adjustment.A speed- adaptative system discovery scheme Yang, Peng, Yong Sun, Chao Liu, Wei Li, and Xiangming Wen before vertical handoff decision, which effectively improves the update rate of the candidate networks set is introduced. Then a vertical handoff decision algorithm based on fuzzy logic with a pre-handoff decision method which reduces unnecessary handoffs, balancing the whole network resources and decreasing the probability of call blocking and dropping.A context-aware service adaptation mechanism Chang, Jie, and Junde Song under ubiquitous network relying on user-to-object, space-time continuum interaction patterns which helps perform service adaptation is presented. Similar Users-based Service Adaptation algorithm (SUSA) is proposed, by combining entropy theory and fuzzy Analytic Hierarchy Process algorithm (FAHP).This approach adopts a fitly defined utility function Pervaiz, Haris, a nd Qiang Ni, which at the same time takes into account the users importance for the considered attributes and the quality offered for these attributes by the available networks. The dynamics of network selection in cooperative wireless networks is modeled using an evolutionary game theory where an evolutionary equilibrium is sought as a solution to this game.A bandwidth allocation algorithm is proposed Fei, Wenchao, Hui Tian, and Rongrong Lian for Constant Bit Rate (CBR) and Variable Bit Rate (VBR) services depending on utility fairness among different networks and the fairness between new arrival and ongoing services. A utility function is introduced whose parameters are determined by the modified multi- submit Analytic Hierarchy Process (AHP) which adapts to different load levels match to dynamic thresholds.A novel load balancing algorithm based on analytic hierarchy process (AHP) is proposed Song, Qingyang, Jianhua Zhuang, and Rui Wen, which helps the heterogeneous WLAN/UMTS net work to provide better service to high-priority users without decreasing system revenue.A novel selection policy Sasaki, Misato, Akira Yamaguchi, Yuichi Imagaki, Kosuke Yamazaki, and Toshinori Suzuki for a communication system in heterogeneous wireless networks, which applies the Analytic Hierarchy Process (AHP) algorithm by taking into account the mobility of the user terminals is proposed.An intelligent context-aware solution based on advanced decision approaches like fuzzy logic and analytic hierarchy processes that considers both users and services requirements is proposed in Zekri, Mariem, Badii Jouaber, and Djamal Zeghlache.REFERENCESIEEE Std 802.16-2009. IEEE standard for local and metropolitan area networks. Part 16 Air interface for broadband wireless access systems 2009.Part 11 Wireless LAN Medium Access Control (MAC) and somatogenetic Layer (PHY) Specification, IEEE 802.11 WG, Aug. 1999.Part 11 Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specificati on High-Speed Physical Layer Extension in the 2.4 GHz Band, IEEE 802.11b WG, Sept. 1999.Part 11 Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification High-Speed Physical Layer in the 5 GHz Band, IEEE 802.11a WG, Sept. 1999.Hwang, C. L., Yoon, K. (1981). Multiple attribute decision making Methods and applications. In A state of the art survey. New York Springer.Meriem, K., Brigitte, K., Guy, P. (2008). An overview of vertical handover decision strategies in heterogeneous wireless networks. Elsevier, Journal of Computer, Communication, 37(10).Pervaiz, Haris, Qiang Ni, and Charilaos C. Zarakovitis. User adaptive QoS aware selection method for cooperative heterogeneous wireless systems A dynamic contextual approach.Future Generation Computer Systems(2014).Mehbodniya, Abolfazl, Faisal Kaleem, Kang K. Yen, and Fumiyuki Adachi. A novel wireless network access selection scheme for heterogeneous multimedia traffic. InConsumer Communications and Networking group di scussion (CCNC), 2013 IEEE, pp. 485-489. IEEE, 2013.Lahby, Mohamed, and Abdellah Adib. Network selection mechanism by using M-AHP/GRA for heterogeneous networks. InWireless and Mobile Networking assembly (WMNC), 2013 6th Joint IFIP, pp. 1-6. IEEE, 2013.Rao, K. R., Zoran S. Bojkovic, and Bojan M. Bakmaz. Network selection in heterogeneous environment A step toward always best connected and served. InTelecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS), 2013 11th International Conference on, vol. 1, pp. 83-92. IEEE, 2013.Haldar, Kuheli Louha, Chittabrata Ghosh, and Dharma P. Agrawal. Dynamic spectrum access and network selection in heterogeneous cognitive wireless networks.Pervasive and Mobile Computing9, no. 4 (2013) 484-497.Liu, Chao, Yong Sun, Peng Yang, Zhen Liu, Haijun Zhang, and Xiangming Wen. A two-step vertical handoff decision algorithm based on dynamic weight compensation. InCommunications Workshops (ICC), 2013 IEEE International Conference on, p p. 1031-1035. IEEE, 2013.Yang, Peng, Yong Sun, Chao Liu, Wei Li, and Xiangming Wen. A novel fuzzy logic based vertical handoff decision algorithm for heterogeneous wireless networks. InWireless Personal Multimedia Communications (WPMC), 2013 16th International Symposium on, pp. 1-5. IEEE, 2013.Chang, Jie, and Junde Song. Research on Context-Awareness Service Adaptation Mechanism in IMS under Ubiquitous Network. InVehicular Technology Conference (VTC Spring), 2012 IEEE 75th, pp. 1-5. IEEE, 2012.Pervaiz, Haris, and Qiang Ni. User Preferences-Adaptive Dynamic Network Selection Approach in Cooperating Wireless Networks A Game Theoretic Perspective. InTrust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on, pp. 1609-1616. IEEE, 2012.Fei, Wenchao, Hui Tian, and Rongrong Lian. Utility-Based Dynamic Multi-Service Bandwidth Allocation in Heterogeneous Wireless Networks. In Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th, pp. 1-5. IEEE, 2012.Song, Qingyang, Jianhua Zhuang, and Rui Wen. Load Balancing in WLAN/UMTS Integrated Systems development Analytic Hierarchy Process. InRecent Advances in Computer Science and Information Engineering, pp. 457-464. Springer Berlin Heidelberg, 2012.Sasaki, Misato, Akira Yamaguchi, Yuichi Imagaki, Kosuke Yamazaki, and Toshinori Suzuki. Novel Communication System Selection Applying the AHP Algorithm in Heterogeneous Wireless Networks. InWireless Communications and Applications, pp. 241-249. Springer Berlin Heidelberg, 2012.Zekri, Mariem, Badii Jouaber, and Djamal Zeghlache. Context aware vertical handover decision making in heterogeneous wireless networks. InLocal Computer Networks (LCN), 2010 IEEE 35th Conference on, pp. 764-768. IEEE, 2010.

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