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VirtualMesh: an emulation framework for wireless mesh and ad hoc networks
- in OMNeT ++ . Simulation 2011; 87: 66–81
"... Wireless Mesh Networks (WMN) have proven to be a key technology for increased network coverage of Internet infrastructures. The development process for new protocols and architectures in the area of WMN is typically split into evaluation by network simulation and testing of a prototype in a test-bed ..."
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Cited by 9 (3 self)
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Wireless Mesh Networks (WMN) have proven to be a key technology for increased network coverage of Internet infrastructures. The development process for new protocols and architectures in the area of WMN is typically split into evaluation by network simulation and testing of a prototype in a test-bed. Testing a prototype in a real test-bed is time-consuming and expensive. Irrepressible external interferences can occur which makes debugging difficult. Moreover, the test-bed usually supports only a limited number of test topologies. Finally, mobility tests are impractical. Therefore, we propose VirtualMesh as a new testing architecture which can be used before going to a real test-bed. It provides instruments to test the real communication software including the network stack inside a controlled environment. VirtualMesh is implemented by capturing real traffic through a virtual interface at the mesh nodes. The traffic is then redirected to the network simulator OMNeT++. In our experiments, VirtualMesh has proven to be scalable and introduces moderate delays. Therefore, it is suitable for predeployment testing of communication software for WMNs.
Cognitive Wireless Sensor Networks Framework for Green COMMUNICATIONS DESIGN
- II INTERNATIONAL CONFERENCE ON ADVANCES IN COGNITIVE RADIO. COCORA 2012
, 2012
"... Cognitive Wireless Sensor Networks is an emerging technology with great potential to avoid traditional wireless problems such as reliability, interferences and spectrum scarcity. Because of the Wireless Sensor Network fast growth and the use of batteries, current rate of power consumption per unit ..."
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Cognitive Wireless Sensor Networks is an emerging technology with great potential to avoid traditional wireless problems such as reliability, interferences and spectrum scarcity. Because of the Wireless Sensor Network fast growth and the use of batteries, current rate of power consumption per unit of data cannot be sustained. Therefore, one of the major challenges face today is low power consumption in Wireless Sensor Networks.Cognitive Wireless Sensor Networks framework is a key issue in green communications because of many protocols, strategies and optimization algorithms could be tested. In this paper a framework composed of a network simulator with cognitive capabilities and low power Cognitive Wireless Sensor Networks real devices with a feedback relation is presented. The benefits of the proposed framework are demonstrated with three different scenarios and simple cognitive green communications strategies. Results show how new concepts have been integrated in the framework with good results and as simple cognitive radio strategies can reduce large amount of power. Keywords-cognitive; framework; low power design; wireless sensor networks I.
SECURITY IN WIRELESS SENSOR NETWORKS – IMPROVING THE LEAP PROTOCOL
"... Wireless sensor networks are becoming significantly vital to many applications, and they were initially used by the military for surveillance purposes. One of the biggest concerns of WSNs is that they are very defenceless to security threats. Due to the fact that these networks are susceptible to ha ..."
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Cited by 1 (0 self)
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Wireless sensor networks are becoming significantly vital to many applications, and they were initially used by the military for surveillance purposes. One of the biggest concerns of WSNs is that they are very defenceless to security threats. Due to the fact that these networks are susceptible to hackers; it is possible for one to enter and render a network. For example, such networks may be hacked into in the military, using the system to attack friendly forces. Leap protocol offers many security benefits to WSNs. However, with much research it became apparent that LEAP only employs one base station and always assumes that it is trustworthy. It does not consist of defence against hacked or compromised base stations. In this paper, intensive research was undertaken on LEAP protocols, finding out its security drawbacks and limitations. A solution has been proposed in order to overcome the security issues faced in implementing this protocol whilst employing more than one base station. The performance of the proposed solution has been evaluated and simulated to provide a better network performance.
A Novel Patient Monitoring Framework and Routing Protocols for Energy & QoS Aware Communication in Body Area Networks
, 2013
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Wireless Networks manuscript No. (will be inserted by the editor) Overlapping Particle Swarms for Energy-efficient Routing in Sensor Networks
"... Abstract Sensor networks are traditionally built using battery-powered, collaborative devices. These sensor nodes do not rely on dedicated infrastructure services (e.g., routers) to relay data. Rather, a communal effort is employed where the sensor nodes both generate data as well as forward data fo ..."
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Abstract Sensor networks are traditionally built using battery-powered, collaborative devices. These sensor nodes do not rely on dedicated infrastructure services (e.g., routers) to relay data. Rather, a communal effort is employed where the sensor nodes both generate data as well as forward data for other nodes. A routing protocol is needed in order for the sensors to determine viable paths through the network, but routing protocols designed for wired networks and even ad hoc networks are not sufficient given the energy overhead needed to operate them. We propose an energy-aware routing protocol, based on overlapping swarms of particles, that offers reliable path selection while reducing the energy consumption for the route selection process. Our Particle-based Routing with Overlapping Swarms for Energy-Efficiency (PROSE) algorithm shows promise in extending the life of battery-powered networks while still providing robust routing functionality to maintain network reliability.
unknown title
"... A performance comparison of recent network simulators Abstract—A widespread methodology for performance analysis in the field of communication systems engineering is network simulation. While ns-2 has established itself as virtually the standard network simulation tool, other network simulators have ..."
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A performance comparison of recent network simulators Abstract—A widespread methodology for performance analysis in the field of communication systems engineering is network simulation. While ns-2 has established itself as virtually the standard network simulation tool, other network simulators have gained more and more attention during the last years. In this paper, we briefly survey new developments in the field of network simulation and conduct a performance comparison study by implementing an identical simulation set-up in five simulators, namely ns-2, OMNet++, ns-3, SimPy and JiST/SWANS. Our results reveal large differences according to both run-time performance and memory usage. I.
A Framework for the Design, Development and Evaluation of Cognitive Wireless Sensor Networks
"... Abstract—Cognitive Wireless Sensor Networks are an emerging technology with a vast potential to avoid traditional wireless problems such as reliability, interferences and spectrum scarcity. Cognitive Wireless Sensor Networks frameworks are a key issue in the future developments of these networks bec ..."
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Abstract—Cognitive Wireless Sensor Networks are an emerging technology with a vast potential to avoid traditional wireless problems such as reliability, interferences and spectrum scarcity. Cognitive Wireless Sensor Networks frameworks are a key issue in the future developments of these networks because they allow a lot of protocols, strategies and optimization algorithms to be tested. A framework composed of a network simulator based on Castalia is presented in this paper. This simulator has been improved with cognitive features and feedback from Cognitive Wireless Sensor Networks real devices. This framework allows an easy and intuitive development of complete cognitive networks with spectrum sensing, learning and collaboration features. This is a crucial issue in order to facilitate the design and development of new algorithms, strategies and protocols for Cognitive Wireless Sensor Networks, and evaluate their performance. The benefits of the proposed framework are demonstrated with four different scenarios and simple cognitive communications strategies. Results show how new concepts have been successfully integrated in the framework and how several areas of research could take advantage of it. Keywords-Cognitive radio; Wireless Sensor Network; framework; simulator.
Article Proactive and Reactive Transmission Power Control for Energy-Efficient On-Body Communications
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DEMO: Simulation of Realistic Mobility Model and Implementation of 802.11p (DSRC) for Vehicular Networks (VANET)
"... An ad hoc network of vehicles (VANET) consists of vehicles that exchange information via radio in order to improve road safety, traffic management and do better distribution of traffic load in time and space. Along with this it allows Internet access for passengers and users of vehicles. A significa ..."
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An ad hoc network of vehicles (VANET) consists of vehicles that exchange information via radio in order to improve road safety, traffic management and do better distribution of traffic load in time and space. Along with this it allows Internet access for passengers and users of vehicles. A significant characteristic while studying VANETs is the requirement of having a mobility model that gives aspects of real vehicular traffic. These scenarios play an important role in performance of VANETs. In our paper we have demonstration and description of generating realistic mobility model using various tools such as eWorld, OpenStreetMap, SUMO and TraNS. Generated mobility scenario is added to NS-2.34 (Network Simulator) for analysis of DSR and AODV routing protocol under 802.11p (DSRC/WAVE) and 802.11a. Results after analysis shows 802.11p is more suitable than 802.11a for VANET.
