Pub Date : 2021-01-01DOI: 10.1504/ijmndi.2021.10042668
S. Goutam, S. Unnikrishnan
{"title":"Algorithm for decision of vertical handover in femto environment","authors":"S. Goutam, S. Unnikrishnan","doi":"10.1504/ijmndi.2021.10042668","DOIUrl":"https://doi.org/10.1504/ijmndi.2021.10042668","url":null,"abstract":"","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89445632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijmndi.2021.10042682
Edward J. Glantz, Devin Kachmar, M. Nasereddin, D. Fusco, Joanne C. Peca
{"title":"Improving wireless and networking cybersecurity curriculum","authors":"Edward J. Glantz, Devin Kachmar, M. Nasereddin, D. Fusco, Joanne C. Peca","doi":"10.1504/ijmndi.2021.10042682","DOIUrl":"https://doi.org/10.1504/ijmndi.2021.10042682","url":null,"abstract":"","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75387277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijmndi.2021.10042691
K. Pradeepa, N. Krishna
{"title":"A greedy heuristic protocol for data collection using mobile base station in wireless sensor network","authors":"K. Pradeepa, N. Krishna","doi":"10.1504/ijmndi.2021.10042691","DOIUrl":"https://doi.org/10.1504/ijmndi.2021.10042691","url":null,"abstract":"","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"86 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76198107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijmndi.2021.10042672
Louiza Bouallouche Medjkoune, Chafik Akmouche, M. Yazid, Mohand Moktefi
{"title":"Designing and assessment of a full duplex MAC protocol for HEW networks with asymmetric traffic","authors":"Louiza Bouallouche Medjkoune, Chafik Akmouche, M. Yazid, Mohand Moktefi","doi":"10.1504/ijmndi.2021.10042672","DOIUrl":"https://doi.org/10.1504/ijmndi.2021.10042672","url":null,"abstract":"","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88706091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijmndi.2021.10042685
J. Sodha
{"title":"Single frozen bit polar code synchronisation","authors":"J. Sodha","doi":"10.1504/ijmndi.2021.10042685","DOIUrl":"https://doi.org/10.1504/ijmndi.2021.10042685","url":null,"abstract":"","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"103 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73745670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/IJMNDI.2020.10035087
A. Agamy, Abdelmageed M. Ali, A. Mohamed
Wireless local area networks (WLANs) are widely used nowadays due to their high data rate and cheap cost. The unpredictable exponential demand of wireless devices such as phones, digital devices and internet of thing (IoT) sensors leads to a huge demand on Wi-Fi access. WLANs experience many challenges in the design and implementation due to their popularity and the large demand. One of these challenges is the effect of the interactive multimedia traffic on the performance of the WLANs. We investigated the impact of sporadic traffic on the behaviour of WLANs using NS3. The main WLANs performance metrics were analyzed using two different types of traffic distributions based on the N-burst analytical traffic model. The results show the negative impact of heavy-tailed applications on the performance WLANs. Also the results show that the effect of heavy-tailed application is less significant in high utilised networks.
{"title":"Performance analysis of WiFi networks based on sporadic traffic model using NS3","authors":"A. Agamy, Abdelmageed M. Ali, A. Mohamed","doi":"10.1504/IJMNDI.2020.10035087","DOIUrl":"https://doi.org/10.1504/IJMNDI.2020.10035087","url":null,"abstract":"Wireless local area networks (WLANs) are widely used nowadays due to their high data rate and cheap cost. The unpredictable exponential demand of wireless devices such as phones, digital devices and internet of thing (IoT) sensors leads to a huge demand on Wi-Fi access. WLANs experience many challenges in the design and implementation due to their popularity and the large demand. One of these challenges is the effect of the interactive multimedia traffic on the performance of the WLANs. We investigated the impact of sporadic traffic on the behaviour of WLANs using NS3. The main WLANs performance metrics were analyzed using two different types of traffic distributions based on the N-burst analytical traffic model. The results show the negative impact of heavy-tailed applications on the performance WLANs. Also the results show that the effect of heavy-tailed application is less significant in high utilised networks.","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"106 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78736700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/IJMNDI.2020.10035091
N. Meghanathan
We propose a binary search algorithm of logarithmic time complexity to predict the time for next link change in a wireless mobile network (WMN). The search space for the algorithm ranges from the current time instant (initial left index) to the last time instant of the simulation (initial right index). The algorithm always maintains an invariant that the WMN has not undergone any link change at the time instant corresponding to the left index and has undergone at least one link change at the time instant corresponding to the right index. The algorithm goes through a sequence of iterations (the search space reduces by half in each iteration) until the difference between the right index and left index is within a termination threshold (e). We also show that the predicted times of next link changes follow an exponential distribution, especially for lower values of the termination threshold.
{"title":"Binary search algorithm to predict the time of next link change in wireless mobile networks","authors":"N. Meghanathan","doi":"10.1504/IJMNDI.2020.10035091","DOIUrl":"https://doi.org/10.1504/IJMNDI.2020.10035091","url":null,"abstract":"We propose a binary search algorithm of logarithmic time complexity to predict the time for next link change in a wireless mobile network (WMN). The search space for the algorithm ranges from the current time instant (initial left index) to the last time instant of the simulation (initial right index). The algorithm always maintains an invariant that the WMN has not undergone any link change at the time instant corresponding to the left index and has undergone at least one link change at the time instant corresponding to the right index. The algorithm goes through a sequence of iterations (the search space reduces by half in each iteration) until the difference between the right index and left index is within a termination threshold (e). We also show that the predicted times of next link changes follow an exponential distribution, especially for lower values of the termination threshold.","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80748229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/IJMNDI.2020.10035092
Fateme Ganje, A. Mahmoodzadeh
The purpose of energy-efficient beaconless geographic routing (EBGR) algorithm is to reduce power consumption in the network. But it cannot select the best relay node in all conditions. Also, in the EBGR algorithm, the relay nodes send their data after receiving them, which creates an overhead in the network and decrease spectral efficiency in the network. We introduce an improved method to improve the performance of the EBGR algorithm. In our proposed method, we have divided the space into several subspaces. Each node prioritises the data transmission to the node that is located beneath its own space and along the source-to-destination direction. In order to reduce the slag on the grid, we have also considered adaptive delay. The advantage of this method is that if the network is ideal, the data arrives with the least delay and if the network has a lot of overhead, the delay rate will also increase.
{"title":"A novel beaconless routing algorithm based on EBGR algorithm for wireless sensor networks","authors":"Fateme Ganje, A. Mahmoodzadeh","doi":"10.1504/IJMNDI.2020.10035092","DOIUrl":"https://doi.org/10.1504/IJMNDI.2020.10035092","url":null,"abstract":"The purpose of energy-efficient beaconless geographic routing (EBGR) algorithm is to reduce power consumption in the network. But it cannot select the best relay node in all conditions. Also, in the EBGR algorithm, the relay nodes send their data after receiving them, which creates an overhead in the network and decrease spectral efficiency in the network. We introduce an improved method to improve the performance of the EBGR algorithm. In our proposed method, we have divided the space into several subspaces. Each node prioritises the data transmission to the node that is located beneath its own space and along the source-to-destination direction. In order to reduce the slag on the grid, we have also considered adaptive delay. The advantage of this method is that if the network is ideal, the data arrives with the least delay and if the network has a lot of overhead, the delay rate will also increase.","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83846543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/IJMNDI.2020.10035106
S. Goutam, S. Unnikrishnan, Prasad Narahar Lalit
Next generation wireless networks are heterogeneous in nature consisting of various radio access technologies (RATs). Hence vertical handover (VHO) becomes a necessity in order to achieve seamless mobility of the mobile users. This research paper presents design, implementation and analysis of the handover decision algorithm in heterogeneous wireless networks. The algorithm is based on Fuzzy Logic. The main parameters considered in designing of vertical handover decision algorithm (VHDA) are received signal strength (RSS), channel capacity, distance from base stations, velocity of the user and load on the network. The changes in the points of handover are observed on the basis of the variations in user trajectory and operating frequency of the base stations.
{"title":"Analysis of handover decision in heterogeneous wireless networks based on user trajectory and operating frequency","authors":"S. Goutam, S. Unnikrishnan, Prasad Narahar Lalit","doi":"10.1504/IJMNDI.2020.10035106","DOIUrl":"https://doi.org/10.1504/IJMNDI.2020.10035106","url":null,"abstract":"Next generation wireless networks are heterogeneous in nature consisting of various radio access technologies (RATs). Hence vertical handover (VHO) becomes a necessity in order to achieve seamless mobility of the mobile users. This research paper presents design, implementation and analysis of the handover decision algorithm in heterogeneous wireless networks. The algorithm is based on Fuzzy Logic. The main parameters considered in designing of vertical handover decision algorithm (VHDA) are received signal strength (RSS), channel capacity, distance from base stations, velocity of the user and load on the network. The changes in the points of handover are observed on the basis of the variations in user trajectory and operating frequency of the base stations.","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87116429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/IJMNDI.2020.10035089
Siddhant Ray, B. Bhattacharyya
With the advent of 5G communication networks, the number of devices on the core 5G network significantly increases.A5Gnetwork is a cloud native, massively connected internet of things (IoT) platform with a huge number of devices hosted on the network now known as massive machine type communication (mMTC). As ultra-low latency is pivotal in developing 5G communication, a proper cell association scheme is now required to meet the load and traffic needs of the new network, opposed to older cell association schemes which were based only on the reference signal received power (RSRP). This paper proposes an unsupervised machine learning algorithm, namely hidden Markov model (HMM) learning on the network's telemetry data, which is used to learn network parameters and select the best eNodeB for cell association. The proposed model uses an HMM learning followed by decoding for selecting the optimal cell for association.
{"title":"Machine learning based cell association for mMTC 5G communication networks","authors":"Siddhant Ray, B. Bhattacharyya","doi":"10.1504/IJMNDI.2020.10035089","DOIUrl":"https://doi.org/10.1504/IJMNDI.2020.10035089","url":null,"abstract":"With the advent of 5G communication networks, the number of devices on the core 5G network significantly increases.A5Gnetwork is a cloud native, massively connected internet of things (IoT) platform with a huge number of devices hosted on the network now known as massive machine type communication (mMTC). As ultra-low latency is pivotal in developing 5G communication, a proper cell association scheme is now required to meet the load and traffic needs of the new network, opposed to older cell association schemes which were based only on the reference signal received power (RSRP). This paper proposes an unsupervised machine learning algorithm, namely hidden Markov model (HMM) learning on the network's telemetry data, which is used to learn network parameters and select the best eNodeB for cell association. The proposed model uses an HMM learning followed by decoding for selecting the optimal cell for association.","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78707682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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