iosr-JECE   Volume-15 ~ Issue-1 ~ Jan-Feb 2020

Abstract: Wireless Sensor Networks (WSNs) is one of the effective techniques that being strongly considered in scientific and engineering fields. WSN consists of small nodes with sensing, computing and communicating wireless abilities. These Sensor nodes usually have a limited lifetime duration due to the limited power supply. The main aim of WSN is to sense all the information from the environment (The environment can be an Information Technological framework, a physical world, or a biological system) based on the kind of application for which is deployed and send this information to it is Base Station (BS). Sensor nodes have to ensure that their effort to complete a task fit with their strict energy budget, this constraint makes theenergy resource the most of critical importance in the WSNs. Sensor Nodes communicate with each other by different Routing Protocols, and Routing Protocols can be classified into different categories in WSNs. This paper will focus on the second category which is the Hierarchical (cluster-based) routing protocols, more precise the chain based routing protocols.....

Keywords: sensor network, Cluster-based routing protocols, LEACH, PEGASIS, chain based routing protocols

[1]. I.F.Akyildiz, W.Su, Y.Sankarasubramaniam, and E.Cayirci "Wireless sensor networks: A survey", Computer Networks, Elsevier, vol. 38, pp. 393–422, 2002.
[2]. J.N. Al-Karaki and A.E. Kamal, "Routing techniques in wireless sensor networks: A survey",IEEE Wireless Communication, vol. 11, pp. 6–28, 2004.
[3]. S. Misra andS. Goswami, "Network Routing: Fundamentals, Applications, and Emerging Technologies", John Wiley & Sons Ltd. 1st edition, Chapter 11, pp 285-325, 2017.
[4]. B. Bhushan and G. Sahoo, "Computational Intelligence in Sensor Networks", Springer, chapter 10,vol. 776, pp. 215-248, 2019.
[5]. K. Guleria, A. K. Verma1, "Comprehensive review for energy-efficient hierarchical routing protocols on wireless sensor networks", Wireless Networks, Springer, vol. 25, pp. 1159–1183, 2018, April 2019.

Abstract:In this paper a substrate integrated waveguide leaky wave antenna is designed and simulated. The basic parameters of antenna such as return loss, VSWR, and radiation pattern etc. is investigated. The substrate
used in the SIW is FR4 glass epoxy with the relative dielectric constant of 4.4 and the loss tangent is 0.02.The designed antenna is simulated from the 2 GHz to 12 GHz. using the HFSS. There are two rows of vias on each
side of the SIW and the spacing of one side vias is changed numerically..

Keywords: SIW, HFSS, Leaky Wave Antenna (LWA).

[1]. Y. Qian, B. C. C. Chang, T. Itoh, K. C. Chen, and C. K. C. Tzuang,"High efficiency and broadband excitation of leaky mode in microstrip structures," in Proc. IEEE MTT-S Int. Microwave Symp. Dig., 1999,vol. 4, pp. 1419–1422.
[2]. T. Ikeda, K. Sakakibara, T. Matsui, N. Kikuma, and H. Hirayama,"Beam-scanning performance of leaky-wave slot-array antenna on variable stub-loaded left-handed waveguide," IEEE Trans. Antennas Propag., vol. 56, no. 12, pp. 3611–3618, Dec. 2008.
[3]. D. Deslandes and K.Wu, "Integrated microstrip and rectangular waveguide in planar form," IEEE Microw. Wireless Compon. Lett., vol. 11, no. 2, pp. 68–70, Feb. 2001.
[4]. Z. L. Ma, K. B. Ng, C. H. Chan, and L. J. Jiang, "A novel supercellbased dielectric grating dual-beam leaky-wave antenna for 60- GHz applications,"IEEE Trans. Antennas Propag., vol. 64, no. 12, pp. 5521–5526, Dec. 2016.
[5]. M. H. Rahmani and D. Deslandes, "Backward to forward scanning periodic leaky-wave antenna with wide scanning range," IEEE Trans. Antennas Propag., vol. 65, no. 7, pp. 3326–3335, Jul. 2017.

Abstract: Recent technologies mainly focuses on schemes in which uplink and downlink resources are considered independently. We propose a new approach where uplink and downlink resources are jointly allocated to all users in an OFDMA based cell using game theory. In our context, the players are 'wireless nodes' which are either cooperative or non cooperative. In our paper, we consider an application of game theory to address problem of resource allocation, specifically power allocation. Joint uplink/downlink subcarrier allocation will yield higher performance gain. This schemes can be used for applications like gaming, multimedia streaming and mobile social networks where uplink data rate should be high. This will notably improve user's end-to-end interaction.

Keywords: Joint allocation, Downlink ,Game theory, OFDMA based cell, Uplink.

[1]. Ahmad M. El-Hajj, Zaher Dawy, and Walid Saad,'A Stable Matching Game for Joint Uplink/Downlink Resource Allocation in OFDMA Wireless Networks', IEEE ICC 2012 - Wireless Networks Symposium.
[2]. K. Kim, Y. Han and S-L Kim, "Joint Subcarrier and Power Allocation in Uplink OFDMA Systems," IEEE Communications Letters, vol. 9, no. 6, pp. 526–528, June 2005.
[3]. G. Zhang and H. Zhang, "Adapative Resource Allocation for Downlink OFDMA Networks Using Cooperative Game Theory," IEEE Singapore International Conference on Communication Systems, ICCS, November 2008.
[4]. Z. Han, Z. Ji and K.J. Liu, "Non-Cooperative Resource Competition Game by Virtual Referee in Multi-Cell OFDMA Networks," IEEE Journal on Selected Areas in Communications, vol. 25, no. 6, pp. 1079–1090, August 2007.
[5]. S. Kim and J.-W. Lee, "Joint Resource Allocation for Uplink and Downlink in Wireless Networks: A Case Study with User-Level Utility Functions," IEEE Vehicular Technology Conference, VTC2009-Spring, April 2009.