In this paper, the distributed estimation in Wireless Sensor Network (WSN) using optimal task scheduling is looked upon. The main goal is to prolong network lifetime while the target parameter is estimated with desirable precision. The lifetime is defined as the number of rounds accomplished before network becomes nonfunctional. In order to prolong network lifetime, we determine the optimal num...

Wireless Sensor Network (WSN) consists of motes which are equipped with limited battery and requires energy management for enhanced Network Lifetime. In this paper we have adopted a deployment strategy which is performed over a region of interest (ROI) obtained from contour integration of one hop to other. The selection of motes depending on the type of application is also analyzed. The necessi...

The paper presents a routing algorithm that maximizes the lifetime of a sensor network in which all data packets are destined to a single collection node. Lifetime is maximized by adjusting the number of packets traversing each node. The adjustment is carried out by transmitting over alternative routes. First part of the paper assumes that the worst case delay resulting from energy efficient ro...

In this paper, we address the problem of energy efficient multicast routing in wireless Mobile Adhoc NETwork (MANET). It is a challenging environment because every node operates on limited battery resource and multihop routing paths are used over constantly changing network environments due to node mobility. We define the network lifetime as duration of time until first node failure due to batt...

A wireless sensor network is the version of adhoc networks consisting nodes with less energy power fitted with a radio transceiver. The primary constraint of a sensor node is its energy resource limitation in the form of a short battery lifetime. Energy is the critical problem while we design the algorithm for wireless sensor networks to maximize the network lifetime. Hence we have to design th...

clustering is an effective approach for managing nodes in wireless sensor network (wsn). a new method of clustering mechanism with using binary gravitational search algorithm (bgsa) in wsn, is proposed in this paper to improve the energy consumption of the sensor nodes.reducing the energy consumption of sensors in wsnsis the objective of this paper that is through selecting thesub optimum senso...

A wireless sensor network is composed of a large number of sensor nodes that are densely deployed in a phenomenon or very close to it. The lifetime of sensor nodes shows a strong dependence on battery lifetime. Clustering provides an effective way for prolonging the lifetime of a wireless sensor network. Therefore, Clustering techniques are used to distribute the energy consumption among nodes ...

Wireless sensor networks (WSNs) have gained a lot of interest of researchers because of its wide area of applications. Sensor network has four main performance metrics namely network lifetime, end to end delay, packet delivery ratio and throughput. In recent times a lot of research has been done on extending the lifetime of the network. Many times end to end delay factor is compromised for incr...

A new energy aware routing protocol to optimize energy consumption and prolong network lifetime for Wireless Sensor Networks (WSNs) had been proposed in this paper. Cluster based routing techniques like the conventional Low Energy Adaptive Clustering Hierarchy (LEACH) are used to achieve scalable solutions and extend the network lifetime until the last node dies. Improved Energy Efficient LEACH...

Abstract— Sensing, processing and communication can consume energy in wireless sensor network. The lifetime of wireless sensor network can be extended by efficient power management. One efficient method to extend the network lifetime is to divide the set of all deployed sensors into non disjoint subsets or sensor covers so that each sensor cover can monitor the entire targets. Adjusting the sen...