2798 Efficient Quality of Service Aware Routing In WSN Using Multi Channel Communication S.Arockia Babi Reebha 1 ,Dr.T.Suresh 2 ,Dr.D.Saravanan 3 1 Research Scholar,Assistant Professor,Department of Computer Science & Engineering, Pavendar Bharathidasan College of Engg.&Tech, Trichy.sabrphdcse@gmail.com 2 Associate Professor, Department of Computer Science & Engineering, FEAT, Annamalai University, Chidambaram.sureshaucse@gmail.com 3 Professor, Department of Computer Science & Engineering, Pavendar Bharathidasan College of Engg.& Tech, Trichy.dsarav23@gmail.com ABSTRACT This paper focuses on ensuring the quality of service within a Wireless Sensor Network using multi-channel communication and considering the channel interference instead of a single channel communication. A interference aware and probabilistic approach is adopted in this paper to improve the overall efficiency and performance of the network. The topology control and QoS provisioning in IEEE 802.11 based network with dynamic traffic load is studied under a simulated environment. Based on the available transmission links between nodes established by the channel assignment, the set of next highly probable nodes for transmission can be detected. This paper follows the probability theory and extends the channel interference model to give a routing mechanism which implemented using a cross-layer (information from MAC layer sent to routing layer for routing decision) method. The simulation results proved the efficiency of the proposed approach in terms of better packet delivery ratio, throughput, jitter and end to end delay under various network traffic scenarios. Key words: multi-channel communication, probabilistic approach, channel interference, cross-layer 1. INTRODUCTION A WSN – Wireless Sensor Network consists of multiple tiny sensor devices scattered at multiple geographic locations which has limited energy resource (most probably they are battery operated). Each sensor device is equipped with a processor, storage unit and a wireless communication device (transceiver). These devices have the ability to observe the atmosphere or the surrounding environment. The sensed data can be processed and communicated to a destination node referred as the base station which receives and analyzes the data collected from multiple sensor devices. The overall lifetime of a sensor device depends on the remaining energy in the battery source. The radio frequency data transmission consumes most of the energy available in the device[9]. Energy conservation is a main objective in many of the routing protocols design and the main aim in any network is to maintain high Quality of Service (QoS) [7]. Many MAC protocols are designed to listen to the channel at a frequent interval instead of continuously listening the channel’s availability for communication [8]. QoS can be defined as a set of requirements in the service to be provisioned in the network during data transmission. QoS can be considered as a measurable level of service provided to the users of the network and it can be characterized by the probability of packet loss, bandwidth availability, and end to end delay in packet transmission. In conventional wired networks the data transmission between the devices are end-to-end in nature without having knowledge on the type and characteristics of the transmitted data. Therefore maintaining end-to-end delay, throughput, and packet loss to an acceptable range will ensure the quality of service. But the same is not applicable in the case of WSN as the sensor device does not communicate in end-to-end fashion rather they transmit the sensed data to the neighboring device and in turn the neighbor nodes forward the data packets towards the destination (sink or base station). The major phenomena to be considered apart from routing the data packet is the energy cost for transmission. The various QoS parameters including coverage and network life time depend on the energy spent during the transmission. The coverage problem may rise when the sensors deployed at different geographic locations couldn’t observe the atmosphere and communicate the information to the destination. This can be due to noisy wireless communication channel, or improper management of the network components [10]. The energy cost for transmission depends on the process of finding an optimal route to the destination from the source. WSN is a scalable network and when the number of sensor devices increases beyond a threshold level then the QoS tend to deteriorate. For this reason designing a optimal routing algorithm and appropriate technique for maintaining QoS in the network is desirable. When provisioning QoS for a WSN network the following factors are to be considered 1. WSN applications are not end-to-end 2. Bandwidth is not a major concern for a single sensor device. Because of the burst nature of the sensor traffic, bandwidth can be an essential consideration for a sensor group. 3. Since multiple sensor devices observe the same environment there is a higher probability of redundancy in the data and hence the packet loss of ISSN 2278-3091 Volume 10, No.4, July - August 2021 International Journal of Advanced Trends in Computer Science and Engineering Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse231042021.pdf https://doi.org/10.30534/ijatcse/2021/231042021