DoTHa - a Double-Threshold Hand-off algorithm for managing mobility in wireless mesh networks

Aisa, J; Fotouhi, Hossein; Almeida, Luís; Villarroel, José Luis

doi:10.1109/etfa.2016.7733511

Cited by 2 publications

(5 citation statements)

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“…In the above three scenarios, we used the built-in handover algorithm of Mininet-WiFi, the dual HM handover algorithm used by DoTHa [ 14 ], and the proposed OHA and OHAQR methods to compare the performance of the system. The experimental results included number of handovers, handover processing time, network transmission performance, and average throughput.…”

Section: Resultsmentioning

confidence: 99%

“…Another way to deal with ping-pong effects is to use hysteresis margins (HMs) [ 14 ]. HMs are like a buffer space added to the handover threshold, so that the new handover threshold will increase the value of HMs to the original threshold.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, when considering the long-term disconnection caused by the ping-pong effect, which results from the user’s wandering between two APs and further causing the UE to continuously switch service providers between APs, the use of HMs can greatly reduce the probability of the ping-pong effect and reduce network service interruption. In [ 14 ], a handover algorithm based on a double threshold and a double hysteresis margin was proposed. From the experimental results, although the method proposed by the author can achieve 100% PDR, more than double the expected number of handovers occurred in the experiment.…”

Section: Related Workmentioning

confidence: 99%

“…An improved handover algorithm referenced in [ 14 ] was proposed to further help the system to select the best nearby handover AP and avoid unnecessary handovers. For the “single-threshold handover judgment method”, when the RSSI between the UE and the currently connected AP is inferior to the RSSI between the UE and the nearby connectable APs with the best RSSI between the UE, the connection with the currently connected AP will be transferred to the AP with the best RSSI with the UE among the nearby APs.…”

Section: User Qos-based Optimized Handover Algorithmmentioning

confidence: 99%

“…The parameters of the experimental environments are shown in Table 1 and the parameters of the proposed handover algorithm are shown in Table 2. Note that in spare wireless network deployment, the signal coverage of the AP and the UE were both small, its HM Good was set as 5 dBm, and the HM Bad was set as 3 dBm [14]. Scenario 2: Low-density wireless network deployment, as shown in Figure 4b, deployed the minimum number of APs to cover a geographical area.…”

Section: Experimental Scenariosmentioning

confidence: 99%

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User QoS-Based Optimized Handover Algorithm for Wireless Networks

Chu

Wong

Cheng

et al. 2023

Sensors

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Due to the development of wireless network technology, various applications relying on good network quality are widely used on mobile devices. Taking the commonly used video streaming service as an example, a network with high throughput and low packet loss rate can meet the service requirements. When the moving distance of the mobile device is greater than the signal coverage of the AP, it will trigger the handover process to connect to another AP, and cause the network to disconnect and reconnect instantaneously. However, frequently triggering the handover procedure will cause a significant drop in network performance and affect the operation of application services. In order to solve this problem, this paper proposes the OHA and OHAQR. The OHA considers whether the signal quality is good or bad, and uses the corresponding HM method to solve the problem of frequent handover procedures. The OHAQR integrates the QoS requirements of the throughput and packet loss rate into the OHA with the Q-handover score, to provide high-performance handover services with QoS. Our experimental results show that the OHA and OHAQR have 13 and 15 handovers in a high-density scenario, respectively, and are better than the other two methods. The actual throughput and packet loss rate of the OHAQR are 123 Mbps and 5%, respectively, and the network performance is better than that of other methods. The proposed method shows excellent performance in ensuring the network QoS requirements and reducing the number of handover procedures.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: User Qos-based Optimized Handover Algorithmmentioning

confidence: 99%

Section: Experimental Scenariosmentioning

confidence: 99%

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