Accepted papers

  • On the Evaluation of Leach Protocol for WSN
    Soha Mohamed and zhibo wu, Harbin Institute of Technology , Harbin, China,
    ABSTRACT
    The design of WSN is an issue that is considered a challenge for routing protocol with energy efficiency. An effective way in sensor nodes is clustering that achieves energy efficiencylow energy adaptive clustering hierarchy (LEACH) protocol is the first and most efficient hierarchical cluster based routing protocol used in WSN to increase the lifetime of network. In this paper, we give a detailed simulation study of LEACH protocol. Using proposed enhancement which consider the distance between the non-head nodes and the cluster head nodes. We get more accurate analysis of energy consumption that can be scaled. Thus, the user can define more limitations on nodes usage for data transmission. Simulation results show that the proposed enhancement decrease energy consumption and lengthen the total lifetime of WSN compared to original LEACH.
  • A Review on Routing Protocol for Low Power and Lossy Networks in IoT
    Amol Dhumane,Avinash Bagul and Rajesh Prasad, NBN Sinhgad School of Engg , India
    ABSTRACT
    In Low-Power and Lossy Networks (LLNs) all the devices including the routing ones are constrained in terms of processing power, memory and the energy. Due to the lossy nature of the networks, losses may occur while transferring the data. These networks are facing the problems in terms of data transfer rates due to the constraints in the devices. In this paper we are going to analyze the working of Routing Protocol over Low Power and Lossy Network (RPL), which is considered as a de-facto routing standard in the Internet of Things. RPL is a distance vector routing algorithm that uses IPV6 as a routing protocol; it supports point to point, point to multipoint and multipoint to point traffic patterns.
  • A Cross-Layer Based Scalable Channel Slot Re-Utilization Technique for Wireless Mesh Network
    Asha C N1 and T G Basavaraju2, 1Acharya Institute of Technology, Bangalore, India and 2 Govt. SKSJTI, Bangalore, India
    ABSTRACT
    Due to tremendous growth of the wireless based application services are increasing the demand for wireless communication techniques that use bandwidth more effectively. Channel slot re-utilization in multi-radio wireless mesh networks is a very challenging problem. WMNs have been adopted as back haul to connect various networks such as Wi-Fi (802.11), WI-MAX (802.16e) etc. to the internet. The slot re-utilization technique proposed so far suffer due to high collision due to improper channel slot usage approximation error. To overcome this here the author propose the cross layer optimization technique by designing a device classification based channel slot re-utilization routing strategy which considers the channel slot and node information from various layers and use some of these parameters to approximate the risk involve in channel slot re-utilization in order to improve the QoS of the network. The simulation and analytical results show the effectiveness of our proposed approach in term of channel slot re-utilization efficiency and thus helps in reducing latency for data transmission and reduce channel slot collision.
  • Topology generators for Software Defined Network testing
    Sunit Kumar Nandi,Assam Engineering College,Guwahati, India
    ABSTRACT
    Software Defined Networking (SDN) is the potential future backbone of all computer networking. The main advantage of SDN is that it separates the control plane from the data plane. This delegates switching routing decisions to a controller that is connected to the switches. The connectivity of the switches and controllers can be represented as a network topology.Usually a network topology has to be developed manually by hand before it can be imported to a simulator/emulator (like Mininet) for testing and evaluation. To ease this tedious problem, two topology generators have been proposed and implemented in Mininet. The first is a random topology generator based on the Erdos-Rnyi model and the second is a generator that uses a SNAP format dataset to build the topology. Both the generators have been tested by generating large-scale topologies and they have been found to be working as desired.