In this paper, we analyze the impact of buffer-aided full-duplex successive relay selection schemes with energy harvesting capability of relay nodes in amplifying and forward (AF) and decode and forward (DF) relaying environments for the Internet of Things networks. We propose to select a relay pair based on the energy harvested and signal strength at relay and destination to receive and transmit in the same time slot, respectively. Contrary to the previous relay pair selection schemes which are based on the signal strength only and cause the relay overuse problem, the proposed scheme ensures the balanced use of energy of relay nodes. The proposed relay selection scheme is implemented with the time switching (TS) and power splitting (PS)-based energy harvesting models in AF and DF relaying environments separately. Furthermore, we derive the closed-form expression of the outage probability and average throughput for both the TS and PS approaches in the DF and AF relaying modes. We compare the proposed relay selection scheme with the S-MMRS scheme and prove that the proposed scheme significantly reduces the outage probability and improves the average throughput. Furthermore, the analytical findings are reinforced with the extensive Monte Carlo simulations. INDEX TERMS Buffer-aided, SWIPT, cooperative relaying, diversity gain, successive relaying.

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A study of ultra-wideband (UWB) microstrip patch antenna for microwave related applications is presented. According to -10 dB impedance bandwidth criteria, the antenna is able to operate in the frequency range 4.7-17 GHz. The antenna is designed on FR-4 epoxy with thickness 1.6 mm and dielectric constant 4.4. An air gap is used between two dielectrics whereas, inverted patch configuration is employed to achieve ultra-wideband characteristics. From proposed design, an average gain of 10 dBi is observed. The presented results demonstrated that the proposed microstrip patch antenna is suitable for WLAN, radar and satellite communications.

Voice over Internet Protocol (VoIP) is an advanced area for researchers. Many different methods are used to send voice over IP networks. With the development of modern telecommunications equipments and softwares telecommunication's malpractices are growing rapidly. Hence there is always a need for monitoring communications and guarantee both security and proper usage. This underlined research work stresses on the analysis of IP traffic and proposes an algorithm for detection mechanisms to control and limit VoIP's grey traffic. The algorithm emphasizes primarily on Session Initiation Protocol (SIP) but it can be modified and used for all VoIP protocols like H.323 and InterAsterisk eXchange protocol (IAX2). The suggested method is based on analyzing the pcap files. These files are used to filter VoIP traffic from network's total IP traffic by reading the header of each packet. The algorithm then extracts different parameters for generating call logs. VoIP packets of the same call are correlated to produce a Call Detail Record (CDR).The produced CDR contains the IP addresses of source and destination that make the calls. For identification of grey traffic these IP addresses are used. If the source IP address in the CDR is of a legal registered operator the user/call is declared as legal, otherwise the user/call is illegal.