Characterization of Wireless Sensor Networks for Traffic & Delay Dattatray S. Waghole Vivek S. Deshpande Department of Information Technology Department of Information Technology MIT College of Engineering MIT College of Engineering Pune, India Pune, India dattawaghole10@gmail.com vsd.deshpande@gmail.com Abstract: - The sensor network is a collection of different sensor nodes. At a moments of information transfer in the sensor network. Data packets should be transmitted via different nodes to the sink node. Wireless sensor network have a Throughput, energy, Reliability, congestion and delay are the different quality of services or parameters. For the reliable data packets transmission in the network require reliability as well as less traffic or congestion in the network. To manage E to E delay or latency in the network requires control the transfer of data packet, path and traffic in the network. For reliable communication, packets will be sending from redundant path if there exists traffic problem. If in the network given huge amount of data packet to node then at that instance created many times traffic problem or congestion. so here improve all these problems. Delay problem solve the transmission problem. In this paper analyse & characterize the traffic and delay. This paper shows the better performance of routing protocols with comparisons & which protocol take a minimum delay with better Average Packet delivery Ratio(PDR) for reliable communication in wireless sensor network. Keywords: Delay, Wireless sensor network, Wireless, Packet delivery ratio (PDR), Routing protocols. I. INTRODUCTION Delay, Reliability, Energy, Throughput, Congestion are the some quality of Services in Wireless Sensor Network. In the Wireless Sensor network having minimum weighted many sensor nodes which are connected each other in network.[1] It will be used in any environment. Wireless sensor network perform various node to sink communication activity with the help of different path through link. [2] When complex condition occurs in transmission of the data from transmitter node to sink node. Sometimes congestion will be arrives in transmission due to heavy traffic, then at that instance network change the path that means it will be use redundant path for reach to sink node.[3][4] Wireless sensor network has few resources in memory, energy, and bandwidth and computation power. Wireless sensor node is limited in consumption power, energy as well as capacities. Global ID not has in the sensor node in wireless Sensor network. Every node in sensor network consist three subsystem including sensor, communication and processing subsystem.[5]The sensor nodes enable to self allocate their routing as well as power of Transmission to increase network availability . Minimize delay is the primary goal for the wireless sensor network.[6] Wireless sensor network having one more concept is scheduling delay i.e. time required for receive the message sink nodes from all nodes. WSN is a revolutionary technology. [7] Hard energy rate or Delay constraints change the principle of fundamental design. The communication in wireless sensor network nodes shows the packet delay in the network, that means Transmission Delay and deterministic queuing delay. [8][9][10] The trace or detection of traffic or congestion refers to identify of easy incident(event),which events creates the traffic or congestion in the sensor network.[11][14] by using various combinations of parameters various protocols identify the traffic or congestion within the sensor network. The size of buffer and information packet is very important in simulation of network. [15] Figure1.Basic structure of WSN Wireless sensor network Sink Node Analyzer 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies 978-0-4799-2235-2/13 $26.00 © 2013 IEEE DOI 10.1109/CUBE.2013.57 69 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies 978-0-4799-2235-2/13 $26.00 © 2013 IEEE DOI 10.1109/CUBE.2013.57 69 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies 978-0-4799-2235-2/13 $31.00 © 2013 IEEE DOI 10.1109/CUBE.2013.57 69 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies 978-0-4799-2235-2/13 $31.00 © 2013 IEEE DOI 10.1109/CUBE.2013.57 69