International Journal of Mobile Network Design and Innovation
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International Journal of Mobile Network Design and Innovation (6 papers in press)
Surviving Node-Node Failures within Wireless Networks for a Near Optimal Ant Colony System Message Re-routing by Ayoade Owoade, Isaac Osunmakinde Abstract: This research develops the Ant Colony System (ACS) survivability model based on capacity efficiency and fast restoration to swiftly resolve node-node failure problems for increasing quality of service. The resilience of the swarm model was tested on such failures at different locations on 20, 26 and 30 node wireless networks. The proposed ACS-based capacity efficiency model was able to generate near optimal paths, the bandwidth required for fast re-routing, the transmission delay and the transmission time for re-routing voice messages. Increased multiple node failures revealed that transmission delay is high when insufficient bandwidth is used for message transmission. Further experiments revealed that the higher the number of nodes on the network, the higher the bandwidth required to transmit a message effectively. Hence, the ACS-based capacity efficiency model therefore outperforms the Dijkstra algorithm, adaptive and reactive restoration models in terms of speed of transmission, transmission delay and running time complexity. The new solution paths generated from these experiments demonstrated that the proposed swarm technology is feasible for current business applications that require high speed/broadband networks. Keywords: Routing; Wireless networks; Telecommunication; Survivability; Fault-tolerance; Ant Colony System; Optimisation; Artificial intelligence; Quality of Service.
DESIGN, DEVELOPMENT AND ANALYSIS OF AN IOT BASED FRAMEWORK FOR MONITORING AQUACULTURE FARMS by Zeenat Shareef, S.R.N. Reddy Abstract: Aquaculture is one of the most popular occupation for the people in the coastal regions of India. Thousands of farmers depend on the yield generated from aquaculture business for their livelihood. Due to various factors, the water in fishery farms gets polluted, which hampers the growth and yield of fish and shrimp. The traditional approaches followed by Indian aquaculture farmers to measure water quality in their farms is slow and inaccurate. This paper highlights the design and development of a wireless sensor network (WSN) for Indian aquaculture farmers for real time assessment and control of the water quality in their farms. Such a system offers flexibility, efficiency, remote monitoring and early warning to the farmers to take preventive measures in time. This paper also presents the power consumption of the sensor node and analysis of the network parameters of the designed sensor network in terms of Received Signal Strength Indicator (RSSI) and packet loss (%) for its robust and efficient design and deployment. Keywords: Network Analysis; Power Consumption; Self -Autonomous Sensor Node; Real Time Assessment.
Optimizing the multiplexing gain in Cloud RAN using the Minimum Spanning Tree algorithm by Remigiusz Prokopiak Abstract: The Cloud Radio Access Network (Cloud-RAN) has been proposed as a cost efficient way of serving the increasing mobile traffic. The basic idea, supporting the cost efficiency, is the statistical multiplexing gain. Such a gain can be achieved when reusing the same processing power, realizing BBU functions, for different, spatially distributed cells. Cells served by a single BBU pool need to be close to each other to support the mobility (handovers) and improve coordination.\r\nThis article proposes the clustering algorithm, based on the minimum spanning tree (MSP). The algorithm allocates the geographically distributed sites onto a predefined set of BBU pools, keeping the clusters compact while achieving high multiplexing gain. We created, using the described algorithm, the BBU pools based on data traffic statistics from commercial network. We compared the multiplexing gain achieved with the maximum multiplexing gain achievable having given the daily profiles of analyzed sites. Keywords: Baseband Unit; BBU; BBU pooling; Radio Access Network; Cloud-RAN; Minimum Spanning Tree; statistical multiplexing gain; pooling gain.
Swarm intelligence on MANET routing issues: An empirical study revealing latent research topics by Gibson Chengetanai, Isaac Osunmakinde Abstract: A Mobile ad hoc network (MANET) is formed by a group of mobile nodes which communicate using wireless links. MANETs are usually deployed in environments where it is difficult to deploy telecommunications, such as in emergency rescue operations. MANET networks are very flexible, as new nodes join and other nodes leave arbitrarily, hence finding an optimal path to route data packets in MANET networks is a challenging domain. This article presents a review on MANET optimisation routing areas to reveal hidden and less researched areas on swarm-based optimisation routing. The research findings can be used as a reference guide to understand swarm-based optimisation routing techniques in wireless networks. A framework covering various sub-themes on MANET routing optimisation has been developed. Exploration of the generated open research questions can be beneficial in the development of intelligent software critical to optimise mobile network solutions to satisfy network providers and subscribers needs. Keywords: swarm intelligence; ant colony optimisation; particle swarm optimisation; bacterial foraging optimisation; artificial bee colony optimisation; genetic based optimisation; hybrid-based optimisation; nature inspired; mobile ad hoc network; routing.
An Ensemble Approach to Analyze Mobile Sensor Networks by Natarajan Meghanathan Abstract: Mobile sensor networks (MSNs) are characteristic of dynamically changing topology due to node mobility. The traditional Least Overhead Routing Approach (LORA) to simulate MSNs cannot be applied to quantitatively assess measures of complex network analysis (like assortativity): for example, the assortativity index of one network snapshot need not be the assortativity index of another network snapshot. In this paper, we propose an \"ensemble\" approach to collect the underlying information (like the degrees of the end vertices of the links) of the network snapshots over a period of time, and assess the targeted analytical measure (like assortativity index) of the MSN on this ensemble data that will be a representative of the topological changes over the entire simulation time period. The ensemble approach abstracts the node and edge ids and uses only the actual node-level metric values as the basis to calculate the network-level metric of interest. Keywords: Ensemble; Assortativity Index; Randomness Index; Simulations; Mobile Sensor Network; Mobility Models.
Optimal Channel Allocation in Heterogeneous Wireless Networks based on Stackelberg Game by Azar Mahmoodzadeh, Hamed Agahi Abstract: Optimal channel allocation in heterogeneous wireless networks, as one of the important infrastructures in the country, enhances the coverage of mobile networks without need to provide new hardware equipment. In this paper a method based on the user cooperation by means of the game theory for optimal channel allocation in heterogeneous wireless networks is presented. In the proposed approach, using the Stackelberg game, operators play the role of leaders while users are considered as followers. Then, the cooperation of the users for receiving different services according to their need in unlicensed spectrum is investigated. Improvement of some performance measures such as increase in channel gain and transmission power and decrease in interference to Wi-Fi users shows that this approach can enhance the efficiency of both operators and users with respect to the number of users and Wi-Fi access points. Comparing with other cooperation methods, the effectiveness of the proposed method in the efficiency of operators and users is demonstrated. Keywords: Game theory; Stackelberg game; Optimal channel allocation; Heterogeneous wireless networks.