Enhanced Handover Decision Algorithm in Heterogeneous Wireless Network

Abdullah, Radhwan M.; Zukarnain, Zuriati Ahmad

doi:10.3390/s17071626

“…The vertical handover decision algorithms can be categorised according to classifications and schemes [2,[6][7] as below and are summarised in Table ( [12], [13], [14], [15], [16], [17], [18] Reduced handover delay, reduced packet loss, intelligent network selection Increased complexity, higher decision processing delays, comparatively high latency…”

Section: Previous Work On Vertical Handover In Vanetmentioning

confidence: 99%

“…The results presented were based on reduction on the number of handovers and handover failure. However, the work did not consider the node speeds as well as handover latency nor apply this method on a variety of movement scenarios [2].…”

Section: B) Qos Schemesmentioning

confidence: 99%

“…The next generation of wireless communication technologies, especially vehicular ad hoc networks are facing many challenges that need to be solved in order to be able to coexist with each other [1]. Seamless mobility is one of the challenges that needs to be addressed in order to provide the ability of uninterrupted inter-technology roaming for mobile nodes [2]. Mobile nodes roaming between different network technologies will lead to Vertical Handover (VHO) process that occurs within the link and network layers due to the demands of shifting the device interface as well as the network point of attachment.…”

Section: Introductionmentioning

confidence: 99%

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2019

IJWMN

0

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One of the most important factors to implement VANET is by considering the variety of wireless networks available around the city as well as the vehicles traffic scenarios. However, by providing a diverse range of wireless access technologies, it is necessary to provide continuous network connectivity as well as selecting the most suitable network technology and performance. Many researchers have worked on building algorithms for selecting the best network to improve the handover process. However, with high-speed vehicles mobility, the vertical handover process became the most challenging task in order to achieve realtime network selection. This paper proposes a bio-inspired network selection algorithm influenced by insect's behaviour which combines Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). The proposed algorithm is applied to process multi-criteria parameters to evaluate the best available network and then execute the handover process seamlessly. The results demonstrate the benefits of the proposed Multi-Criteria ABC-PSO method by reducing the handover decision delays by 25%. It gives the optimum performance in terms of network selections and reduces the handover latency by 14.5%. The proposed algorithm also reduces the number of unnecessary handovers by 48% for three different mobility scenarios based on traffic environments (highway, urban and traffic jam).2 selecting the best among them. Hence, the concept of mobility in a heterogeneous wireless network implies the continuation of data transmission or maintaining an ongoing session while the point of attachment changes during VHO. The VHO happens when a Mobile Node (MN) roams between different networks and change the device interface (physical layer) which leads to different direction of data session in the user side as well as the network attachment point in the network side (network layer).Our proposed schemes present a multi-criteria artificial bee colony hybrid with particle swarm optimisation algorithm for evaluating the information gathered from the mobile nodes in the handover. The algorithm will process and calculate the required handover timing for each node in advance, based on the mobile nodes' velocity and received signal strength to reduce the handover process latency. The information is used to support all vertical handover operations, which includes network discovery, handover decision, and handover implementation.In the initial stage of the operation, the previous Access Point (AP) provides information about the neighbouring networks for the MN to quickly discover available networks. The second stage of the operation is selecting the best available network for the MN by considering its velocity and distance. The final operation of the proposed scheme involves the mobile node sharing the current information with its neighbouring nodes based on its current location. The schemes run on realtime simulation based on three mobility scenarios in city environment which are highway, urban and traffic jam scenario.

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“…The vertical handover decision algorithms can be categorised according to classifications and schemes [2,[6][7] as below and are summarised in Table (1 [12], [13], [14], [15], [16], [17], [18] Reduced handover delay, reduced packet loss, intelligent network selection Increased complexity, higher decision processing delays, comparatively high latency…”

Section: Previous Work On Vertical Handover In Vanetmentioning

confidence: 99%

Untitled

2019

IJWMN

0

View full text Add to dashboard Cite

One of the most important factors to implement VANET is by considering the variety of wireless networks available around the city as well as the vehicles traffic scenarios. However, by providing a diverse range of wireless access technologies, it is necessary to provide continuous network connectivity as well as selecting the most suitable network technology and performance. Many researchers have worked on building algorithms for selecting the best network to improve the handover process. However, with high-speed vehicles mobility, the vertical handover process became the most challenging task in order to achieve realtime network selection. This paper proposes a bio-inspired network selection algorithm influenced by insect's behaviour which combines Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). The proposed algorithm is applied to process multi-criteria parameters to evaluate the best available network and then execute the handover process seamlessly. The results demonstrate the benefits of the proposed Multi-Criteria ABC-PSO method by reducing the handover decision delays by 25%. It gives the optimum performance in terms of network selections and reduces the handover latency by 14.5%. The proposed algorithm also reduces the number of unnecessary handovers by 48% for three different mobility scenarios based on traffic environments (highway, urban and traffic jam).

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“…They provide network information about the supported higher layer services on the available networks. The IEEE 802.21 has proposed the Media Independent Handover (MIH) services [5] to enhance the handovers across heterogeneous access networks, i.e. vertical handover, and to optimize the service (or session) continuity during handovers, i.e.…”

Section: Media Independent Information Service: It Facilitates the Exmentioning

confidence: 99%

Energy Efficient MIH based Independent and Heterogeneous Vertical Handover Algorithm

Avinash¹

2018

IJCA

0

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In recent years wireless technologies are most popular in modern world; similarly in communication field also essential for multi-mode wireless devices in heterogeneous wireless network environments. To make a seamless handover among heterogeneous networks, the optimal selection of a network is a challenging task. The main issue in RAT is to manage the handover efficiency between one region to other region communication. Handover is the process of communicating from one region to other region without any interruptions; we apply Media Independent Handover (MIH) method with global access point services. Through this we can show the communication can be carried out by the Access point associated with Base station, so that the Source can efficiently communicate with any mobile users (nodes) presented in any regions with full independent support. So that the handover based communication is achieved via MIH methodology. Quality of Service (QOS) is the main concern over wireless communications, so that the successful route establishments will be achieved via Route Request and Route Response methodologies. Source and destinations are communicated via route requesting and response methodology, if any neighbor node fails to send response back to request that will be considered as the Malicious or abnormal node, as well as I will not be a part for further precedence in communications. In simulation environment, apart from the paper implementations we can show multicasting routing methodology to show our results are best with more destinations as well. For all the proposed results should prove the energy efficiency is more, delay is reduced, performance and network lifetime is improved, we show these details via graphical results. KeywordsEnergy efficiency, vertical handover, handover decision algorithm, Energy efficiency

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Enhanced Handover Decision Algorithm in Heterogeneous Wireless Network

Cited by 30 publications

References 23 publications

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Energy Efficient MIH based Independent and Heterogeneous Vertical Handover Algorithm

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