ISSN(Online): 2320-9801 ISSN (Print): 2320-9798 International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol. 2, Issue 11, November 2014 Copyright to IJIRCCE www.ijircce.com 6614 Review on DRINA: A Lightweight and Reliable Routing Approach for In-Network Aggregation in Wireless Sensor Networks Harshada Bhosale, Shubham Joshi M.E. Student, Dept. of C.E., D.P.C.O.E. Wagholi, Pune, Maharashtra, India Assistant Professor, Dept. of C.E., D.P.C.O.E. Wagholi, Pune, Maharashtra, India ABSTRACT: A wireless sensor network is a collection of distributed nodes to monitor physical or environmental conditions like sound, temperature at different locations as well as to pass their data through network to a sink node. Sensor nodes in wireless sensor network are nearly located and communicating with each other through routing. Data routing takes place in non-aggregated manner should consume more energy in wireless sensor network. Energy conservation is the major issue in wireless sensor network. To save this energy consumption, data aggregation can be effective in routing. This data aggregation is used for increasing data accuracy, eliminating data redundancy, reducing communication load along with saving energy consumption. In network aggregation along with lightweight reliable routing scheme can be invoked to schematize & increase the probability of occurrence of security & reliable communication in & around network. KEYWORDS: Data aggregation, in-network aggregation, cluster, routing, communication I. INTRODUCTION A Wireless Sensor Network (WSN) consists of sensor nodes that monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion, or pollutants [2],[3]. WSNs are used in applications such as environmental monitoring, homeland security, critical infrastructure systems, communications, manufacturing military and many other applications that can be critical to save lives and assets[4]. Sensor nodes are energy-constrained devices and the energy consumption is generally associated with the amount of gathered data, since communication is often the most expensive activity in terms of energy. For that reason, algorithms and protocols designed for WSNs should consider the energy consumption in their conception. Moreover, WSNs are data-driven networks that usually produce a large amount of information that needs to be routed, often in a multihop fashion, toward a sink node, which works as a gateway to a monitoring center. Routing plays an important role in the data gathering process. A possible strategy to optimize the routing task is to use the available processing capacity provided by the intermediate sensor nodes along the routing paths. This is known as data-centric routing or in-network data aggregation. Nodes are energy-constrained devices and the energy consumption is generally associated with the amount of gathered data, since communication is often the most expensive activity in terms of energy. For that reason, algorithms and protocols designed for WSNs should consider the energy consumption in their conception. Moreover, WSNs are data- driven networks that usually produce a large amount of information that needs to be routed, often in a multihop fashion, toward a sink node. Given this scenario, routing plays an important role in the Data gathering process. Thus, various algorithms have been proposed to provide data aggregation during the routing in WSNs. Some of them are tree-based algorithms and try to solve some variation of the Steiner tree problem; others are cluster-based algorithms while others are simply structure-less.