| Modelling and Analysis of Call Blocking Probability in an Established CDMA Wireless Network |
| Pages: 201-206 (6) | [Full Text] PDF (304 KB) |
| O Cletus O, E Christopher O, N Scholastica U |
| Department of Electronic and Computer Engineering, Nnamdi Azikiwe University Awka, Nigeria |
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Abstract - Millions of mobile subscribers are nowadays denied access to mobile network due to insufficient spectrum allocated to the networks by the communication control agencies. Since the spectrum is a scarce resource that cannot easily be created for its adequate use, it is therefore pertinent that the available spectrum is optimally utilized to serve the purpose for which it is meant for. In order to make the maximum use of the available spectrum, a Code Division Multiple Access (CDMA) technique which allows data to be represented by code words are used. This technique tries to reduce some of the impairments that are associated with other access techniques such as Frequency Division Multiple Access (FDMA) and Time Division Multiple Access (TDMA) techniques in efficient service delivery. Therefore, this work x-rays the CDMA wireless network and its use to evaluate these access denials and provides the models that can be deployed to ameliorate the number of access denials otherwise called call blockings. Statistical analysis is presented in this work to determine the call blocking probability in a CDMA wireless system. This will enable the proper analysis of the network to be carried out so as to provide the necessary technique that could be deployed to reduce the number of call blockings in wireless networks. The results obtained show that call blockings are drastically reduced to the tune of 25 % of the total placed calls. |
| Index Terms - Call blocking probability, multiple access, wireless network, Signal-Interference plus Noise Ratio, channels, and Erlang |
C itation - O Cletus O, E Christopher O, N Scholastica U. "Modelling and Analysis of Call Blocking Probability in an Established CDMA Wireless Network." International Journal of Computer Networks and Communications Security 4, no. 7 (2016): 201-206. |
| Body Area Networks IEEE802.15.6 HBC Physical Layer Performances: Bit Error Rate and Message Integrity |
| Pages: 207-212 (6) | [Full Text] PDF (722 KB) |
| M EDDABBAH, CEA ZAOUIAT, M MOUSSAOUI, Y Laaziz |
| Abdelmalek Essaadi University, ENSA, LABTIC laboratory, Tangier, MoroccoIT&M Laboratory, ENSA, Cadi Ayyad University, Marrakesh, Morocco |
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Abstract - IEEE 802.15.6 Wireless Body Area Networks (WBAN) is a new standard designed for wireless sensors that operate around or inside the body (human, animal or robot), this standard improves the sensors life time by optimizing communication protocols and reducing the network coverage to operate just around a body without affecting communication reliability. The current standard defines three physical layers, namely Narrowband physical layer (NB), Ultra-Wide Band physical layer (UWB) and Human Body Communication physical layer (HBC). In this paper, we evaluate the HBC physical layer performances, in terms of bit error rate (BER) for two different symbols correlation methods in the receiver, namely Hamming distance and Jaccard index (distance). Simulations prove that the vector symbols similarity model used in the receiver can influence information integrity. |
| Index Terms - IEEE 802.15.6, HBC, BER, Hamming, Jaccard |
C itation - M EDDABBAH, CEA ZAOUIAT, M MOUSSAOUI, Y Laaziz. "Body Area Networks IEEE802.15.6 HBC Physical Layer Performances: Bit Error Rate and Message Integrity." International Journal of Computer Networks and Communications Security 4, no. 7 (2016): 207-212. |
| Simulation of Mobile Backbone Network |
| Pages: 213-217 (5) | [Full Text] PDF (270 KB) |
| Madhusudan G and Kumar TNR |
| Asst. Professor, Department of CS&E, SJCE, Mysore, IndiaAsst.Professor, MSRIT, Bangaluru, India |
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Abstract - The Mobile Backbone Network (MBN) architecture has been introduced to support multimedia applications for mobile adhoc wireless network. Under the MBN architecture, backbone nodes are dynamically elected to construct a mobile backbone network (Bnet). The MBN employs Mobile Backbone Network Routing with Flow Control (MBNR-FC) mechanism. It reduces the routing control overhead by selectively flooding route discovery messages solely across the Bnet. The MBNR-FC protocol also guides routing to traverse areas that are less congested. When the synthesized Backbone net is unable to cover the whole network area, the use of backbone paths can limit the overall throughput capacity. It also presents a Mobile Backbone Network Routing with Flow Control and Distance Awareness Control (MBNR-FC/DA) scheme. Under the MBNR-FC/DA scheme, flows that travel a distance no longer than the distance threshold can employ non backbone routes In this way, the capacity of communication links that are located away from the Bnet is utilized to to upgrade the overall throughput capacity. Analytical procedure for the calculation of the effective distance threshold level under various the MBNR-FC/DA scheme. |
| Index Terms - IEEE 802.15.6, HBC, BER, Hamming, Jaccard |
C itation - Madhusudan G and Kumar TNR. "Simulation of Mobile Backbone Network ." International Journal of Computer Networks and Communications Security 4, no. 7 (2016): 213-217. |
| Coverage Aware Battery Regression Curve Node Scheduling in Wireless Sensor Networks |
| Pages: 18-226 (9) | [Full Text] PDF (625 KB) |
| A More |
| School of Technology, Management and Engineering, NMIMS University, Mumbai, India |
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Abstract - In energy-limited wireless sensor networks (WSNs), optimized node scheduling is an important technique for maximizing coverage and network lifetime. Existing coverage protocols present periodical, random and conditional node scheduling based on some coverage metrics. However, these scheduling techniques causes the frequent and un-necessary wake-ups of sleeping nodes which would increase the energy consumption and reduced network lifetime. In this paper, we propose Coverage Aware Battery Regression Node Scheduling (CABR) algorithm using battery discharge curve. In CABR, the coverage computation test determines that there are adequate numbers of sensing nodes in the network field while battery curve regression decides an optimal wakeup rate of sleeping nodes. The coverage computation test ensures minimum coverage redundancy within the network and optimal backoff sleep time derived from regression fit to the battery curve avoids unnecessary, random and frequent wake-ups of sleeping nodes. Due to this, sleeping nodes wake-up only close to the death of sensing node. In addition, coverage computation test maintains adequate/sufficient number of sensing nodes which would reduce energy consumption and maximize the coverage and network lifetime in the WSN. Simulation results show that, CABR achieves lesser energy consumption and longer network coverage lifetime as compared to RBSP and PEAS. |
| Index Terms - Optimal node scheduling, Battery discharge curve, Polynomial regression, Coverage area |
C itation - A More. "Coverage Aware Battery Regression Curve Node Scheduling in Wireless Sensor Networks ." International Journal of Computer Networks and Communications Security 4, no. 7 (2016): 18-226. |