The ubiquity of wireless technologies in the Internet of Things (IoT) concept enforces utilization of power-optimized wireless techniques. Furthermore, a specially tailored mesh-routing algorithm is required in order to achieve battery longevity and node accessibility. In the paper, we propose an improved BLE (Bluetooth Low Energy) mesh-routing algorithm for an IoT Smart Home application. The proposed algorithm is based on a time-slotted medium-access scheme, which enables communication nodes to sleep and/or exchange information. In order to achieve compatibility with any BLE-enabled device, such as mobile phones/tablets, routing and data information is transmitted via Eddystone beacons. Performance analysis of the proposed BLE mesh-routing algorithm is carried out using an OMNeT++ discrete simulation environment and Mixim framework. Validation of the proposed algorithm is completed on the basis of measurements from a real-life test network. The results show that the proposed algorithm is suitable for the IoT applications where the energy efficiency of the communication nodes is a key priority and propagation delays are not critical.

Recent advances in the development of wearable sensors and smartphones open up opportunities for executing computing operations on the devices instead of using them for streaming raw d ...

—Ubiquity of natural disasters during last few decades have risen serious questions towards the prediction of such events and human safety. Every disaster regardless its proportion has a precursor which is manifested as a disruption of some environmental parameter such as temperature, humidity, pressure, vibrations and etc. In order to anticipate and monitor those changes, in this paper we propose an overall system for disaster prediction and monitoring, based on wireless sensor network (WSN). Furthermore, we introduce a modified and simplified WSN routing protocol built on the top of the trickle routing algorithm. Routing algorithm was deployed using the bluetooth low energy protocol in order to achieve low power consumption. Performance of the WSN network was analyzed using a real life system implementation. Estimates of the WSN parameters such as battery life time, network size and packet delay are determined. Based on the performance of the WSN network, proposed system can be utilized for disaster monitoring and prediction due to its low power profile and mesh routing feature.

In this paper we propose an improved adaptive media access (MAC) layer routing algorithm for the broadband power line communication (BPLC) access network founded on the fixed basic approach routing algorithm, which is integrated within the IEEE P1901 standard. The proposed adaptive algorithm incorporates a new dynamically scaled threshold for the selection of the next hop station based on the information from the physical layer. Furthermore, the procedures for the route and the time allocation modifications during the connection setup and later adjustments are developed. Simulation of the new adaptive and existing fixed routing algorithm is performed on the model of a realistic BPLC network using the OMNeT++-based BPLC cross-layer simulator BPlcSim. The simulation results showed that the adaptive routing algorithm outperforms the fixed routing in all aspects, since each station can perform routing functions and make the selection of the most reliable next hop station.

The paper presents a physical (PHY) layer simulation of the low voltage powerline communication (LV PLC) system in accordance with the PRIME standard. The simulation concept is based on the transmission line and two port network theory. The simulator PrimeSim is implemented within the Matlab and introduces a graphical user interface for the network setup and results management. Furthermore, the simulator represents a generic framework for the development of broad spectrum of powerline network simulators and investigation of the applicability of PLC technology for smart grid applications. Performance of the PrimeSim simulator was validated in the pre-built LV PLC network consisting of eight nodes. Results for the probability of the bit error obtained within the simulation represents a good match of those obtained measurement within test network.

This paper describes the specific requirements in the design of versatile wireless sensor networks (WSN) and how MAC routing algorithms influence on their performance. Investigation of the impact of the MAC routing algorithms on the battery consumption of the sensor nodes and packet delivery delay is based on the WSN simulation in OMNET++ framework. Simulation results are validated with the actual measurements using Arduino nodes with XBEE modules.

Abstract—This paper describes the specific requirements inthe design of versatile wireless sensor networks (WSN) andhow MAC routing algorithms influence on their performance.Investigation of the impact of the MAC routing algorithms onthe battery consumption of the sensor nodes is based on theWSN simulation in OMNET++ framework. Simulation resultsare validated with the actual measurements using Arduino nodeswith XBEE modules.Keywords—wireless sensor networks, MAC routing, simulationOzetce —Bu calismada,¸ cok yonlu kablosuz algilayici aglarinin˘tasarimi (WSN) ve MAC yonlendirme algoritmalarinin basarima¸etkisini incelemeyi amaclamaktadir. Algilayici dugumlerinin˘batarya tuketiminde MAC yonlendirme algoritmalarinin etki-lerinin arastirilmasi¸ Algilayici dugumlerin batarya tuketimi MAC˘yonlendirme algoritmalari etkilerinin arastirilmasi¸ WSN benze-timi OMNeT + + ile gerceklenmektedir. Benzetimden elde edilensonuclar XBEE modulleri ile Arduino du˘gumleri kullanarakgercek olcumler ile dogrulanmaktadir.˘Anahtar Kelimeler—dokuman bicimi, stil, anahtar kelimeler.

This paper presents the discrete-event simulator of the low-voltage broadband power line communication (BPLC) access network in accordance with the IEEE P1901 standard. The proposed simulator enables the cross-layer simulation of the physical (PHY) and medium access control (MAC) layer. The performance of the digital communication techniques at the physical layer and the characteristics of the shared medium are integrated at the MAC layer through the probability of the bit error. The proposed simulator was applied in order to estimate the throughput in the simple BPLC network. For the selected set of parameters at the MAC and PHY layer in the test network, the simulator recorded average download throughput of 900kbps, registration time of 36ms and packet delivery ratio of for 0.98 between each station and the HE. DOI: http://dx.doi.org/10.5755/j01.eee.19.5.1440

The paper analyzes the performance of the wireless sensor network (WSN) from the standpoint of routing algorithm related tos battery-discharge process. Using an experimental WSN implemented with Arduino Uno and XBee modules, measurements are made, of the packet delay and battery-discharge rate. Measurement results are compared with the simulation results obtained in the OMNeT++ simulation environment. The paper provides a short overview of difficulties and challenges commonly encountered in WSN design. The measurement results show that Arduino in its native form is not suitable for the WSN processing unit because its high current value during the sleep mode.

This paper presents the comprehensive stochastic model of the TCP (Transmission Control Protocol) that aggregates all TCP states. The model provides the TCP connection throughput for a given packet loss probability, link capacity and link delay. The derived model incorporates assumption that packets coming after the first lost packet are not necessarily lost. Such assumption led to the model which adequately describes TCP behavior. The model derivation required determination of the transitional probabilities between TCP states, number of acknowledged packets and time intervals required for transitions. The obtained stochastic model was confirmed by averaged packet-level simulation results in ns2.