In this paper, the system performance of a hybrid time–power splitting relaying (TPSR) two-way half-duplex (HD) relaying network over a Rayleigh fading channel is investigated in terms of the outage probability (OP) and intercept probability (IP). The proposed model has two sources, A and B, which communicate with each other with the help of an intermediate relay (R) under the presence of an eavesdropper (E). The physical layer security (PLS) was considered in this case. Firstly, we derived the closed-form expressions of the exact and asymptotic IP in two cases, using MRC (maximal ratio combining) and SC (selection combining) techniques. The closed-form expressions of the system OP was then analyzed and derived. All the analytical expressions of the OP and IP of the system model were verified by a Monte Carlo simulation in connection with all the main system parameters. In the research results, the analytical and simulation values were in total agreement, demonstrating the correctness of the system performance analysis.
In this paper, we evaluate end-to-end outage probability of a multi-hop decode-and-forward relaying protocol in underlay cognitive radio network. In the proposed protocol, named COOP, secondary nodes including source and relays have to harvest radio-frequency energy from multiple secondary power beacons, and adjust their transmit power, follows a pre-determined interference threshold given by multiple primary users. To enhance the outage performance for the secondary network under an joint constraint of the interference threshold, Rayleigh fading channel and hardware noises caused by imperfect transceiver hardware, the secondary relays on the source-destination path cooperate to forward the source data to the destination. Particularly, they attempt to receive the source data from their previous nodes, and forward it to the secondary destination if requested. Moreover, whenever the destination cannot receive the source data successfully, a successful relay that has the shortest distance to the destination is selected for retransmission. Due to usage of the cooperative transmission, the proposed COOP protocol obtains better performance, as compared with the corresponding multi-hop relaying one (denoted DIRECT) which only uses direct transmission at each hop. We evaluate the outage performance of COOP and DIRECT via both simulation and theory. The obtained results present a significant performance enhancement, as comparing COOP with DIRECT.
4The performance of the multi-hop relaying networks applied to Internet of Things (IoT) networks is investigated in the present work. To ameliorate the reliability of the whole network, for each hop, we employ cooperative communications subject to co-channel interference. In particular, several cooperative schemes are applied in the present work namely, incremental relaying, selection combining, and maximal ratio combining. In this context, we derive the exact closedform expressions of end-to-end (e2e) outage probability (OP) of the whole systems over Rayleigh fading distribution. Numerical results based on the Monte-Carlo method are then employed to not only confirm the accuracy of the proposed mathematical framework but also to illustrate the advantages of the considered schemes compared with the conventional multi-hop relaying without using cooperative communications.Index Terms4Cooperative communication, multi-hop relaying, co-channel interference, outage probability.
Recently, research activities related to Internet of Things (IoT) have been focused by many researchers in all aspects of human lives that made the rapid changes to the traditional model of a rescue and surveillance system. In this context, the development of an intelligent rescue and surveillance system with multifunctional robots is generally adopted to mitigate the accidents in rescue activities in dangerous situations. Therefore, in this paper, we design and implement a mobile robotic system that can handle rescue and surveillance tasks efficiently. With a mobile robot deployed in the given area to collect the real-time data of the target environment and get live video feedback, the system can not only measure the environmental conditions that may affect the health of the rescue team but also detect a victim being in the affected area. It saves precious time in rescue activities and helps the rescue team to plan their work more efficiently. The proposed system can be controlled and managed remotely via a friendly Web-based user interface.
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