Minimization of Handoff Latency by Cell Sectoring Method using GPS

Sarddar, Debabrata; Chatterjee, Shubhajeet; Biswas, Utpal; Mukherjee, Mandovi; Mallik, Saurav; Mazumder, Pulak; Naskar, Mrinal Kanti

doi:10.5120/3020-4084

Cited by 7 publications

(14 citation statements)

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“…As we have already find the trajectory equation of MS, the directional tangent method will be a better approach. In tangent analysis method we can determine the tangent of the curve from the equation 1 and from that with help of vector analysis method [6] we get the best AP. Let us consider the scanning time, taken by this process, is Ts.…”

Section: Scanning Processmentioning

confidence: 99%

“…The performance results obtained, shows that an 8-level threshold algorithm operates better than a single threshold algorithm in terms of forced termination and call blocking probabilities. In [6], a vector analysis method is used for handoff management. In [8], a handoff algorithm using distance measurement method is used where the distance of MS from each BS is calculated and by comparing them the best neighbor BS can be found out.…”

Section: Introductionmentioning

confidence: 99%

“…In [6], a vector analysis method is used for handoff management. In [8], a handoff algorithm using distance measurement method is used where the distance of MS from each BS is calculated and by comparing them the best neighbor BS can be found out. In [9], a handoff algorithm is implemented using new cell coverage area in the handoff region.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reducing handover failure probability by repetitive scanning process

Chatterjee¹,

Bag

Samadder

2012

2012 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

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In wireless communication, handoff has become an important topic of research. A mobile station (MS) requires handoff when it travels out of the coverage area of its current access point (AP) and tries to associate with another AP. But handoff failure probability provides a serious barrier for such services to be made available to mobile platforms. Throughout the last few years plenty of research had been done to reduce handoff failure probability, whereas very few of them can be applied for an irregular (haphazard) motion of MS. In this paper, we are going to implement a new handoff scheme which is applicable for both regular and irregular motion of MS. We will find the minimum time interval (T) that the MS should stay within the handoff region (the particular area within a cell where the handoff is initiated and performed). We will repeat the scanning process number of times at different points of MS trajectory within the handoff region until the total scanning time exceeds the fixed time interval (T) and by doing so we can find out the most significant AP. Our simulation results show the effectiveness of our proposed scheme in practical field.

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Section: Scanning Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reducing handover failure probability by repetitive scanning process

Chatterjee¹,

Bag

Samadder

2012

2012 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

Self Cite

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show abstract

“…The vertical handoff process can be divided into three main steps [15], [16], namely 1. Handoff initiation phase 2.…”

Section: B Handoff Phasesmentioning

confidence: 99%

Handoff Management:issues and Challenges

Dhand¹,

Dhillon²

2018

ijarcs

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Mobility management is very essential component for the next generation Wireless networks. Today research studies are focusing on customer satisfaction and user preferences. As technology will grow further handoff process to handle mobility in heterogeneous networks becomes of utmost importance. In this paper, different set of metrics, and issues of handoff have been discussed. The paper discusses underline concepts of handoff and few algorithms based on various methods such as fuzzy logic, genetic algorithms, neural networks, etc. This paper also focuses on issues still remaining and need to be focused for building up of an efficient algorithm for handoff management.

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“…In [3] authors have reduced handoff latency by reducing the number of APs to be scanned which is accomplished by cell sectoring and distance measurement with help of GPS but still cannot remove ping pong effect which can be may be minimized by using received signal strength method along with their proposed algorithm and hence left for future.…”

Section: Related Workmentioning

confidence: 99%

Handoff Optimization for Wireless and Mobile Networks using Fuzzy logic

Dhand¹,

Dhillon²

2013

IJCA

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The most important issue in Personal Communication Services (PCS) is the mobility management. And the efficiency of this PCS system is dependent on the maintenance of a reliable and optimal radio link between the mobile user and the fixed system. When the mobile user moves out of his coverage area, handoff is required to enjoy continuation of services. In this paper, a handoff algorithm termed as Fuzzy controller for Handoff Optimization (FCHO) is introduced based upon fuzzy logic. Traditional algorithms for handoff using fixed values of parameters can perform well only in specific environment but FCHO exploits attractive features of several existing algorithms, and adds more capabilities to provide adaptation to the dynamic environment. Simulation results reveal that the proposed FCHO algorithm eliminates the problem of corner effect by dynamically changing the value of threshold and hysteresis with the change in the RSSI and the velocity of the mobile station.

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Minimization of Handoff Latency by Cell Sectoring Method using GPS

Cited by 7 publications

References 0 publications

Reducing handover failure probability by repetitive scanning process

Reducing handover failure probability by repetitive scanning process

Handoff Management:issues and Challenges

Handoff Optimization for Wireless and Mobile Networks using Fuzzy logic

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