Mayur Kumar

Analysis of energy model and Performance of IEEE 802.15.4 WSNs under Different Duty Cycle

IEEE 802.15.4 is an emerging communication protocol for low rate-wireless personal network (LR- WPAN) which has gained importance in last few years, in practical and research field. Nowadays Zigbee used in many applications such as home automation, industrial, and medical system etc. The low rate WPANs provide low power consumption, low cost and small range wireless networking. Zigbee uses IEEE 802.15.4 as its communication protocol for medium access control (MAC) layer and physical (PHY) layer. Since in WSNs, nodes are powered by limited capacity of batteries and densely deployed in any geographic region to perform sensing. So that energy efficient operation and better QoS are always desired in WSNs. In this paper, we have focused on two energy model i.e. Mica mote and mica z and beacon enable mode operation of IEEE802.15.4 with different duty cycle under different traffic load. The duty cycle operation achieve by setting two system parameters, macBeaconOrder (BO) and macSuperframeorder (SO). This paper, comparatively analyzed the energy model and performance of IEEE 802.15.4 with different percentage of duty cycle on the basis of energy consumption and QoS parameter. The matrices used in performance evaluation are packet loss rate (PLR), average end to end delay, throughput, residual battery capacity and energy consumption using Qualnet 6.1 simulator. Keywords -WSN, IEEE 802.15.4, Bacon order (BO), Super frame order (SO), Duty Cycle, CBR traffic, and Qualnet 6.1.

Convergence issues of taylor series method in determining unknown target location using hyperbolic multilateration

Modern Electronic Warfare systems need to provide real time location information in a consistent, unambiguous and timely manner. The time difference of arrival (TDOA) techniques used for location determination make use of the method of hyperbolic multilateration. One technique which is widely used for solving non linear hyperbolic equations is the Taylor Series method. This paper discusses the convergence issues the method faces and analyses the possible effect of variations in receiver distribution on coPnvergence of the solution.