A novel direction-based diurnal mobility model for handoff estimation in cellular networks

Sadhukhan, Samir K.; Mandal, Swarup; Bhaumik, Partha; Saha, Debashis

doi:10.1109/indcon.2010.5712715

Cited by 8 publications

(7 citation statements)

References 5 publications

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“…Two types of mobility model, viz. random mobility model and diurnal mobility model [7], are considered. We have used exponential distribution for interarrival time of two successive calls to an MT and exponential distribution for call service time for an MT.…”

Section: Resultsmentioning

confidence: 99%

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An Efficient Location Management Technique for Diurnal Mobility in Wireless Cellular Networks

Sadhukhan

Moitra²,

Venkateswaran

et al. 2014

2014 Fourth International Conference of Emerging Applications of Information Technology

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Location management in cellular communication refers to location update (LU) and location search (LS) (or, commonly known as paging). LU requires occasional update of the entries corresponding to an MT in its location registers (LRs), namely home LR (HLR) and visiting LR (VLR). LS consists of two sub-processes: (i) pre-paging-probe (PPP) -to identify the paging area, in which the MT currently resides, using the HLR/VLR entries created by LUs, and (ii) paging -to page the identified area. Since decrease in LU frequency increases LS effort, and vice versa, good location management techniques attempt to optimize the total signalling cost due to LU plus LS in the network. A recent paper [1] has reduced the LU cost by a novel pointer forwarding mechanism, wherein the previous VLR keeps a forward pointer to the current VLR instead of updating the HLR when an MT changes the VLR. This process creates a chain of forwarding pointers through VLRs, if the MT changes multiple VLRs. Though this technique reduces costly HLR updates, a relatively lengthy VLR traversal takes place, using the forward pointer chain, to locate the current VLR during the LS for the MT. Thus, due to successive probing through the chain of pointers, the PPP cost increases. To avoid this problem, our proposed LU technique restricts the chain length to unity so that PPP cost remains constant. We do so by introducing the concept of a home VLR in line with the home agent concept of mobile IP. The home VLR acts like a pseudo-HLR for the MT, thereby reducing costly HLR updates too. Our LU scheme can adopt various HLR update strategy (e.g., movement based update, or cell-sojourn time based update). Using simulation, we find that the reduction in PPP cost, with respect to [1], becomes more significant as the call-to-mobility ratio (CMR) increases. Further simulation study reveals that our proposed technique is best suited for diurnal mobility [7] of an MT, and there it reduces both LU and LS costs considerably.

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Section: Resultsmentioning

confidence: 99%

“…PROPOSED LM TECHNIQUE In our LU scheme, we have used cell sojourn time based HLR update strategy because that suits diurnal mobility [7].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Location Management Technique for Diurnal Mobility in Wireless Cellular Networks

Sadhukhan

Moitra²,

Venkateswaran

et al. 2014

2014 Fourth International Conference of Emerging Applications of Information Technology

Self Cite

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“…Direction would first come out in our mind when it comes to users' mobility prediction as it is the most important attribute of mobility. Mobility of commuters is not random purely but rather direction-oriented [48] and it will be easier to know where the user is heading if the direction is known in advanced. For example, Kuruvatti et al [49] made a prediction of user cell transitions based on estimation of user group; besides, moving direction was predicted in [50] in order to find which region the user is most likely to go.…”

Section: Prediction Outputs 1) Moving Directionmentioning

confidence: 99%

Mobility Prediction: A Survey on State-of-the-Art Schemes and Future Applications

2019

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Recently, mobility has gathered tremendous interest as the users' desire for consecutive connections and better quality of service has increased. An accurate prediction of user mobility in mobile networks provides efficient resource and handover management, which can avoid unacceptable degradation of the perceived quality. Therefore, mobility prediction in wireless networks is of great importance and many works have been dedicated to this issue. In this paper, the necessity of mobility prediction, together with its intrinsic characteristics in terms of movement predictability, prediction outputs, and performance metrics is discussed. Moreover, the learning perspective of solutions to mobility prediction has been studied. Specifically, an overview of the state-of-the-art approaches is provided, including Markov chain, hidden Markov model, artificial neural network, Bayesian network, and data mining based on different kinds of knowledge. At last, this paper also explores the open research challenges due to the advent of the fifthgeneration mobile system and puts forward some potential trends in the near future. INDEX TERMS Mobility prediction, quality of service (QoS), resource reservation, handover management, the fifth-generation mobile system (5G).

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“…The hacker travels from her present location within the MANET to the destination node and then returns after exploiting the target at the destination node. Therefore the mobility is diurnal (Sadhukhan et al 2010;Sadhukhan et al 2007). While no existing research has adopted direction-based diurnal mobility for vulnerable node determination in h-MANETs, several studies have used it in various other networks to determine transition probability.…”

Section: Routing Algorithms In Manetsmentioning

confidence: 99%

“…While no existing research has adopted direction-based diurnal mobility for vulnerable node determination in h-MANETs, several studies have used it in various other networks to determine transition probability. Sadhukhan et al (2010) used the concept of direction-based diurnal mobility to formulate a Markov model to depict mobile handoffs in cellular networks (Sadhukhan et al 2010). Extending this concept to this study, we propose a novel method to determine the vulnerability and risk of an h-MANET from the perspective of the information security officer using direction-based diurnal mobility.…”

Section: Routing Algorithms In Manetsmentioning

confidence: 99%

A Markov-Based Model for Information Security Risk Assessment in Healthcare MANETs

et al. 2017

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Information security breaches are of major concern for healthcare mobile ad-hoc networks (h-MANETs). In this paper, we propose a model that identifies and assesses risk in an h-MANET deployed by a healthcare institution in a disasterprone region a priori by modeling the possible routes a hacker might follow to compromise a target. Our model proposes a novel method to compute the transition probability of each hop in the h-MANET. Next, it employs Markov theory to compute the maximum and minimum number of hops required to compromise the target for a given source-target pair. It then determines the vulnerability for all the paths comprising minimum to maximum hops only for each pair by computing their overall transition probability. Finally, our model computes the risk associated with each of these paths. Based on the calculated risk level of each path, the management can recommend an appropriate risk mitigation strategy.

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A novel direction-based diurnal mobility model for handoff estimation in cellular networks

Cited by 8 publications

References 5 publications

An Efficient Location Management Technique for Diurnal Mobility in Wireless Cellular Networks

An Efficient Location Management Technique for Diurnal Mobility in Wireless Cellular Networks

Mobility Prediction: A Survey on State-of-the-Art Schemes and Future Applications

A Markov-Based Model for Information Security Risk Assessment in Healthcare MANETs

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