© 2014, IJARCSMS All Rights Reserved 120 | P a g e ISSN: 232 7782 (Online) 1 Computer Science and Management Studies  International Journal of Advance Research in Volume 2, Issue 8, August 2014 Research Article / Survey Paper / Case Study Available online at: www.ijarcsms.com Combating Congestion Problem in Wireless Sensor Network using Combined Dominating Set Technique Shuchi Sharma 1 Department of Computer Science and Engineering Punjab Institute of Technology (PTU-Main Campus) Kapurthala – India Mansi Gupta 2 Assistant Professor Department of Computer Science and Engineering Punjab Institute of Technology (PTU-Main Campus) Kapurthala – India Anand Nayyar 3 Assistant Professor Department of Computer Science and Applications KCL Institute of Management and Technology Jalandhar – India Abstract: Wireless Sensor Network, consist of small nodes with sensing, computation and communication capability. These sensor nodes are small tiny devices which are gathered to transfer data from one node to another. Due to failure in these sensor nodes packet may get dropped in the network due to which throughput get decreased and retransmission of data packet from sender node to receiver node leads to energy consumption which in return cause delay in data packet delivery at sender end. The main categories are data centric, hierarchical and location based. Every algorithm or technique have common objective to less delay, less energy consumption and better network lifetime. After examining these parameters and various techniques, we introduce a new technique named Combined Dominating Set (CDS). The main aim of our technique is to avoid congestion and to increase link stability. A comparison has been made between existing technique and the proposed technique i.e. Mint-Route, TADR and CDS on the basis of delay, energy consumption and the network lifetime. Keywords: TADR Combined Dominating Set Technique (TADR-CDS); Wireless Sensor Network; link stability; Mint-Rout; Traffic Aware Dynamic Routing (TADR). I. INTRODUCTION Wireless Sensor Networks (WSNs) have been widely spread in the research area over the last decades. Wireless Sensor Networks are deployed for many mission-critical tasks, such as habitat monitoring, health monitoring, image sensing and physical game. Wireless sensor network contains number of sensor nodes, which are small in size. The sensor nodes will be deployed in the remote area, such as the high mountain area, battle fields and the satellite in the outer space, in which case recharging is not feasible. Thus, the main motive for WSNs is on the low energy consumption within the sensor nodes which may be constrained in terms of a small memory and a low computing capability. A wireless sensor network (WSN) consists of the autonomous sensor node to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion, light etc. The huge use of Wireless Sensor Network sometimes leads to problem of energy constraint which in terms leads to limited lifetime of sensor node. This limited lifetime of a sensor node lead to node failure, which can interrupt the entire system. Every sensor node sustains three modes- sleep, active and idle. In sleep mode, the nodes shutdown the radio to save the energy, in active mode nodes consume energy when receiving or transmitting data and in idle mode the nodes consume almost the same amount of energy as in active mode. The sensor network condition is worsened by medium contention, link bit errors or potential handoff operations in wireless networks. These hostile factors in the network increase the possibility of congestion in the network. Congestion occurs in the network when a link or node is carrying large amount of data that its quality of service deteriorates or diminishes. In WSN data passes through multihop routes between sensors until they reach sink node, so the