Earticle

A novel method is introduced for approximate calculation of the probability that a plane can connect to a base station in an aeronautical ad hoc networks (AANET) where planes move along multiple specified airlines. Since the communication coverage of a plane can covers segments of airlines, for each of these segments, there is a probability that the communication of the plane (FCOM) can extend to it, from which FCOM can extend again to others segments of airlines until it reaches a base station. As multiple airlines are in AANET, there are plenty of extension paths for FCOM to reach a base station and each path has an existing probability, which is used to calculate the probability that the plane can connects to a base station. Thus, our method is in fact some kind of probabilistic diffusion, which works out the probability that the communication of a plane can diffuse to a base station. We choose the flight routes above the North Pacific Ocean and also generate some random scenarios in simulations to show the correctness and universality of our work. In the conclusion, several future works of AANET based on our method are introduced.

In the field of network security, researchers have implemented different models to secure the network. Intrusion Detection System is also one of them and Snort is an open source tool for Intrusion Detection and Prevention System. Today intrusion Detection System is a growing technology in network security and mostly researchers have focused in this field, some of them used signature or rule-based technique and some are anomaly based techniques to improve security of network. In this paper we propose a rule-base Intrusion Detection System with our self generated new Efficient Port Scan Detection Rules (EPSDR). These rules will be used to detect naive port scan attacks in real time network using Snort and Basic Analysis Security Engine (BASE). BASE is used to view the snort results in font-end web page because Snort has no graphic user interface. In This rule-based Intrusion Detection System we will match the signature with our Efficient Port Scan Detection Rules (EPSDR) from captured packet. As a definition of signature based IDS this new EPSDR based IDS will be useful to reduce the false positive alarm.

Data query is a common communication pattern in sensor networks. However, due to the introduction of sleep latency, it is challenging to perform efficient query in low-duty-cycle sensor networks. In particular, the round-trip delay from the sink to source nodes and vice versa over the same forwarding path could be extremely long. In this work, westudy the delay optimization problem by jointly considering routing and sleep scheduling, then propose a holistic scheme to find the asymmetric routing paths for data query and response so that the round-trip delay could be minimized. We compared ourMinimum Delay Query (MDQ) deign with the state-of-the-art schemes. The evaluation results verify that our design can greatly reduce the query delay in low-duty-cycle sensor networks.

A quad-band planar compact diversity antenna for mobile handset devices is presented in this paper. The antenna unit of the proposed antenna is a “paperclip” structure consisted by an inverted L-shaped strip and a C-shape meander branch connected by a metallic via hole. The radiation structure of the proposed antenna is compact, 15.6×25mm2. Simulated and measured results show that the proposed antenna can operate at 0.915/2.45/3.5/5.8GHz WSNs, WLAN and LTE bands with quasi-monopole radiation patterns. Two diversity antenna geometry are compared and discussed in the overall size of 60mm × 100mm substrate similar like the size of modern mobile handset devices. A low Enveloped Correlation Coefficient(ECC) characteristic are achieved by the optimized diversity design. Together with compact volume, the proposed diversity antenna is a good candidate for mobile handset device applications.