About Omnet Project Team

In this letter, we propose a distributed adaptive-pricing algorithm aimed at solving the weighted sum energy efficiency (EE) maximization problem in ad hoc networks. It is theoretically proven that the proposed distributed algorithm strictly converges to the Karush-Kuhn-Tucker (KKT) point of the problem.

Significant performance enhancement is observed by numerical results with fast convergence. Moreover, it is shown that the proposed algorithm degrades gracefully when decreasing overhead of information exchange.

Security is the main concern in today’s wireless network environment. However, cipher algorithms consume a lot of resources to provide the required confidentiality. Ad-Hoc wireless networks are one area where the devices are extremely resource constrained. Therefore computationally simple yet cryptographically strong cipher algorithms are required for such kind of networks.

In this paper a light weight Quasi group based stream cipher is proposed and implemented on a Virtex-6 FPGA. It is also subjected to the NIST-STS test suite. Its performance is evaluated in MANETs using Glomosim simulator.

This paper reports experimental results on self-organizing wireless networks carried by small flying robots. Flying ad hoc networks (FANETs) composed of small unmanned aerial vehicles (UAVs) are flexible, inexpensive and fast to deploy. This makes them a very attractive technology for many civilian and military applications. Due to the high mobility of the nodes, maintaining a communication link between the UAVs is a challenging task. The topology of these networks is more dynamic than that of typical mobile ad hoc networks (MANETs) and of typical vehicle ad hoc networks (VANETs). As a consequence, the existing routing protocols designed for MANETs partly fail in tracking network topology changes. In this work, we compare two different routing algorithms for ad hoc networks: optimized link-state routing (OLSR), and predictive-OLSR (P-OLSR).

The latter is an OLSR extension that we designed for FANETs; it takes advantage of the GPS information available on board. To the best of our knowledge, P-OLSR is currently the only FANET-specific routing technique that has an available Linux implementation. We present results obtained by both Media Access Control (MAC) layer emulations and real-world experiments. In the experiments, we used a test bed composed of two autonomous fixed-wing UAVs and a node on the ground. Our experiments evaluate the link performance and the communication range, as well as the routing performance. Our emulation and experimental results show that POLSR significantly outperforms OLSR in routing in the presence of frequent network topology changes.

With the rapid advancement of wireless technology and the exponential increase of wireless devices in the past decades, there are more consumer applications for MANETs (mobile ad hoc networks) in addition to the traditional military uses. A resilient and robust MANET is essential to high service quality for applications. The dynamically changing topologies of MANETs pose a huge challenge to normalnetwork operations. Furthermore, malicious attacks against critical nodes in the network could result in the deterioration of the network.

In this paper, we employ several real-world human mobility traces to analyze network robustness in the time domain. We apply attacks against important nodes of the human topology and compare the impact of attacks based on different centrality measures. Our results confirm that nodes with high betweenness in a well-connected large dynamic network play the most pivotal roles in the communication between all node pairs.

The idea or concept of intelligent traffic management in which data from the TIC (Traffic Information Centre) infrastructures could be reachable at any point is included mightily in Smart cities. Living labs (cities in which new designed systems can be tested in real conditions) have been created all over Europe to test the possibilities of these future cities. It’s the new concept where vehicular networks play relevant role. The Vehicular Ad-hoc Networks VANETs are a sub-class of the most studied Mobile Adhoc Networks MANET, in which vehicles are considered as mobile nodes. VANETs differ from other MANETs because of their specific characteristics, inducing numerous problems and constraints, which lead us to discuss many issues in VANETs as they are decentralized, self organized, self monitoring with distributed nature of network.

When and if deployed, VANETs will be the most implemented MANET ever and will continue their development over next years; it is indeed the reason why many issues are of great concern to be studied. Ample research efforts have been devoted to VANETs in the broadcasting domain. In order to have optimal and adaptive approaches, we focus on a number of requirements. In this light, this article will present an overview of VANETs, chiefly broadcasting protocols with the aim to resolve this relevant related issue, it also present some suggested broadcasting solutions and a propose a new algorithm with the idea of integrating the concept of Intelligent Traffic Lights ITLs in order to solve the core’s problem which is how to minimize the number of rebroadcast packets while maintaining good latency and reachability using dynamic parameters from the counter, probability based and distance based.

Path length of a multi hop Ad Hoc networks has an adverse impact on the end-to-end throughput especially during network saturation. The success rate of forwarding packets towards destination is limited due to interference, contention, limited buffer space, and bandwidth. Real time applications streaming data fill the buffer space at a faster rate at the source and its nearby forwarding nodes since the channel is shared. The aim of this paper is to increase the success rate of forwarding the packets to yield a higher end-to-end throughput. In order to reduce loss of packets due to buffer overflow and enhance the performance of the network for a saturated network, a novel MAC protocol named Queue Utilization with Hop Based Enhanced Arbitrary Inter Frame Spacing based (QU-EAIFS) MAC is proposed for alleviating the problems in saturated Ad Hoc networks.

The protocol prioritises the nodes based on its queue utilization and hops travelled by the packet and it helps achieving higher end-toend performance by forwarding the packets with higher rate towards the destination during network saturation. The proposed MAC enhances the end-to-end performance by approximately 40% and 34% for a 5hop and 6hop communication respectively in a chain topology as compared to the standard IEEE802.11b. The performance of the new MAC also outperforms the performance of IEEE 802.11e MAC. In order to validate the protocol, it is also tested with short hops and varying packet sizes and more realistic random topologies.

In mobile ad hoc networks (MANETs), nodes are mobile and have limited energy resource that can quickly deplete due to multi-hop routing activities, which may gradually lead to an un-operational network. In the past decade, the hunt for a reliable and energy-efficient MANETs routing protocol has been extensively researched. This paper proposes a novel Ant Net-based routing scheme for MANETs (so-called MAnt Net), and an its enhanced energy-aware version (so-called E-MAnt Net), for which the routing decisions are facilitated based on the nodes’ residual energy.

These protocols were evaluated through simulations using NS2, showing that E-MAnt Net outperforms both MAnt Net and EAODV, in terms of network residual energy, network lifetime, number of established connections, and the number of dead nodes in the network, where E-AODV is an energy-aware version of AODV.

The Mobile Ad-hoc Networks (MANET) comprising of collection of mobile nodes interconnected by wireless links are widely used in various applications including strategic applications. Thus MANETs constitute a self-organized wireless mobile ad-hoc networks which do not relay on any centralized fixed network infrastructure. Every node can act as router to forward packets between source and destination nodes. The routing security of forwarded data is extremely important in many strategic applications, including military applications.

Due to various types of attacks, the routing security is greatly affected leading to degradation in the performance of MANETs because of presence of malicious nodes among the forwarding nodes. In this paper, a strategy based on trust aware routing has been suggested for Optimized Link State Routing (OLSR) protocol. The modified OLSRM protocol using trust aware routing framework has been proposed. The performance of new protocol OLSRM is evaluated for the two types of attacks viz. Black Hole Attack and Self Behavior Attack. The comparison of MANET performance using original OLSR and modified OLSRM protocol has been presented for 1000×400 square meter network area and results are discussed.

Significant energy consumption by buildings from utility grid has made researchers revisit existing Building Energy Management Systems (BEMS). Most of the developing countries have taken a green initiative of Net Zero Energy Buildings (NZEB) to reduce carbon foot print and fast depletion of conventional energy sources. Though the integration of solar and wind based systems to grid is successful in recent years, residential building energy management systems with renewable energy sources is still an evolving research area. Monitoring, control and actuation systems should be tightly coupled with the help of any to any device communication namely Internet of Things (IoT) to realize an efficient NZEB. In this paper a real time NZEB is proposed and developed with bi-directional wireless sensor and actuation system.

Proposed NZEB central server collects and maintains a database of on site solar generation, battery state of charge and load power consumption data of a building with help of IEEE 802.15.4 and IEEE 802.11 wireless networks. Proposed system was deployed as a test bed with sensing, control, actuation and server modules and connecting them with a bi-directional wireless network architecture similar to IoT. Data observed at experimental test bed confirm that developed system can estimate on site solar power generation, state of charge on battery bank and load power consumption with negligible error. A simulation study with experimental data collected at NZEB test bed shows that NZEB can optimally schedule loads between local generation and utility grid thereby minimizing peak demand on the grid.

Accompanying the increasing interest on Vehicle Adhoc Networks (VANETs), there is a request for high quality and real-time video streaming on a VANET, for safety and infotainment applications. Video Streaming on a VANET faces extra issues, comparing to the video streaming on a Mobile Ad-hocNetwork (MANET), like the highly dynamic topology. However, there are also benefits in VANETs, like large buffer and battery capacity, predictable motion of vehicles and powerful CPU and GPU. However the high packet loss ratio of a VANET is a critical issue for high quality video streaming. In this work, we propose an error recovery process for high quality and real time video streaming in a VANET, which is call Multi-channel Error Recovery Video Streaming (MERVS).

MERVS transmits the video through two different channels: reliable channel and unreliable channel. Because the importance of the I-frames in terms of video quality, I-frames will be transmitted through the reliable channel. The inter frames will be transmitted through the unreliable channel, because the limited resource of the reliable channel. The Priority Queue, Quick Start and Scalable Reliable Channel (SRC) techniques are also integrated to improve the delay of MERVS. Based on the conducted simulation results, MERVS can provide higher quality video streaming comparing to Forward Error Correction (FEC) with the similar time delay compared with the RTP/UDP in a VANET.