International Journal of Computer Applications (0975 – 888) Volume 48– No.10, June 2012 11 CMR-FD: Clustered Multipath Routing with False Destination to increase the Lifetime of Sensor Network S. Manju Priya Research Scholar Karpagam University Coimbatore, Tamilnadu S. Karthikeyan, PhD. Asst.Professor in IT College of Applied Sciences Sohar, Sultanate of Oman ABSTRACT Routing in wireless sensor network is an important task. This has led to number of routing protocol which utilizes the limited resources. Since wireless sensors are powered by batteries, it is very essential to utilize their energy. Under these constraints many methods for conserving the power have been proposed to increase battery life. In this paper we propose a novel way by using clustered multipath routing with false destination (CMR-FD) to increase the lifetime of sensor nodes. It uses multiple paths between source and the destination which is intended to provide a consistent transmission with low energy. Keywords Sensor nodes, energy, lifetime, multipath 1. INTRODUCTION Recent advances in micro electro mechanical systems, technology and wireless communications have led to small and low cost sensor network. The sensor network may comprise many application areas such as health monitoring, environmental monitoring including temperature, humidity, lightning condition, pressure etc. [23]. Additionally, many domain applications such as factory automation, chemical pollution monitoring, oil and gas remote monitoring, building sensor and security adopt sensor computing. A mobile wireless sensor network consists of tiny sensor nodes which has three basic components: a sensing subsystem for data acquisition from the physical surrounding environment, a subsystem for local data processing and storing a wireless transmission subsystem for data transmission. Furthermore, a battery is critical for a sensor node. All the sensors send data that they have sensed from the given region to the base station. The very important issue in this action is energy efficiency. There are other factors related to energy efficiency directly or indirectly like having a good routing protocol. The path selected by nodes to send data is very affective because energy resources are limited and routing protocol should pay attention to this fact and has to send data in the path which doesn‟t lead the nodes to loss much energy. Clustering is a technique used to reduce energy consumption of network nodes. The main contribution of this paper is using a multipath routing to send the data from one cluster to other clusters. The remaining of this paper is organized as follow: section 2 guides an idea on prior works done in this area. Section 3 gives details about cluster formation and the proposed multipath routing, section 4 presents simulation results and performance analysis and section 5 presents conclusions and future work. 2. RELATED WORK Wireless sensor networks have attracted much research in recent years. In order to minimize the energy consumption in WSN‟s several energy efficient routing protocols and algorithms has been developed [1, 2]. Several researches have focused to provide energy efficiency routing protocols for wireless sensor network. Another major issue in sensor networking is routing. The majority of the routing protocols can be classified into data centric, hierarchical, location based, network flow. Energy sensor node is assumed to know its own position as well as that of its neighbors which can be obtained with some localization schemes [7] [8]. Each node can forward packets to its neighbours within its transmission range that are closer to the sink node than itself. A routing protocol for sensor networks should have scalability, data aggregation, network dynamics, low complexity, energy efficiency, fault tolerance and multiple paths. Multipath routing in ad hoc networks has been proposed in [17], [18], [19], [20]. For monitoring burst events a multipath routing protocol based on dynamic clustering and ant colony optimization is proposed in [13]. Partitioning the whole network into smaller areas can turn the network into an easily controllable and manageable infrastructure, and such grouping of sensors is the clustering. The main purpose of clustering is to use the network resources more efficiently, reduce overheads and provide a scalable architecture. The cluster head plays its major role which mange‟s all other node belonging to its group. Due to this it may quickly cause energy fatigue. There has been some published work related to the cluster formation and the selection of cluster head [9] [10]. Generally, the clustering methods can be categorized into static and dynamic clustering. The static clustering aims at minimizing the total energy spent during the formation of the clusters for a set of network [11]. The dynamic clustering also deals with the same energy efficiency problem as in [12]. Some non uniform sensor deployment strategies have been proposed. Lian etal [3] focused on increasing the total data capacity by only considering the energy spent on the data transmissions. Reducing energy consumptions due to wasteful sources has been primarily addressed in the content of adaptive MAC protocols such as PAMAS (Power Aware Multi-Access Protocol) [4] and S-MAC [5, 6].