Power Management of WSNs by Various Clustering Algorithms
Kirtika Goyal, Jyotsna Sengupta · 2011
Wireless sensor network (WSN) require a various power management protocols to reduce the energy consumption. But the lifetime of sensor network greatly depend on their battery. Radio irregularity and fading in multihop WSN also affect lifetime of a sensor. Various cluster-based schemes are discussed as a solution for this problem. The proposed schemes centering on the clustering of network for conserve the energy of a network. The performance of the proposed system is evaluated in terms of energy efficiency and reliability. Wireless sensor networks are one of most hot topics in computer science. Wireless sensor networks are networks in which thousands of small and battery powered nodes communicate with each other through their sensing capabilities. Power management is a major design constraint in sensor networks. Due to this constraint the sensing capability of sensor nodes reduces and their bandwidth limit (2). These networks can contain hundreds or thousands of sensing nodes. It is desirable to make these nodes as cheap and energy-efficient as possible and rely on their large numbers to obtain high quality results. So protocols must be designed to achieve fault tolerance in the presence of individual node failure while minimizing energy consumption. In addition, since the limited wireless channel bandwidth must be shared among all the sensors in the network (3). In order to manage energy, it is common for sensor nodes to self- organize into clusters periodically, in which one sensor is selected as cluster head. The cluster head is responsible for the organization of the cluster, data collection and aggregation within the cluster, as well as transmission of the aggregated data to the sink (4). PEGASIS protocol presented in (5) form a chain including all nodes in the network using greedy algorithm so that each nodes transformed to and received from a neighbor. In each round, randomly selected node takes turns to transmit the aggregated information to the base station. Nodes in TEEN and APTEEN are designed to respond to sudden changes in the sensed attribute when node exceeds a user defined threshold. They assume that position of the base station is fixe and every node in the network directly communicates to base station. OEDSR is an demand protocol for wsns that minimizes a different link cost factor which is defined using available energy, end to end delay, and distance from to a base station.