Abstract
Wireless sensor nodes are use most embedded computing application. Multihop cluster hierarchy has been presented for large wireless sensor networks (WSNs) that can provide scalable routing, data aggregation, and querying. The energy consumption rate for sensors in a WSN varies greatly based on the protocols the sensors use for communications. In this paper we present a cluster based routing algorithm. One of our main goals is to design the energy efficient routing protocol. Here we try to solve the usual problems of WSNs. We know the efficiency of WSNs depend upon the distance between node to base station and the amount of data to be transferred and the performance of clustering is greatly influenced by the selection of cluster-heads, which are in charge of creating clusters and controlling member nodes. This algorithm makes the best use of node with low number of cluster head know as super node. Here we divided the full region in four equal zones and the centre area of the region is used to select for super node. Each zone is considered separately and the zone may be or not divided further that’s depending upon the density of nodes in that zone and capability of the super node. This algorithm forms multilayer communication. The no of layer depends on the network current load and statistics. Our algorithm is easily extended to generate a hierarchy of cluster heads to obtain better network management and energy efficiency.
Highlights
wireless sensor networks (WSNs) consists of more than hundreds of small spatially distributed autonomous devices using sensor called sensor nodes to monitor the physical and environmental situations such as sound vibration, temperature, pressure, motion and intensity of light at various place
The rest of this paper is prepared as follows segment II briefly describes the applications of the WSN in different areas, Segment III describes the problem formulation, Segment IV gives general key issues of the various routing algorithms, Segment V includes a detailed study of the related research
Energy scavenging technology may significantly increase the WSN lifetime, but for the maximum efficiency it is desirable to apply it with the maximum power point tracking (MPPT) technique [6]
Summary
WSNs consists of more than hundreds of small spatially distributed autonomous devices using sensor called sensor nodes to monitor the physical and environmental situations such as sound vibration, temperature, pressure, motion and intensity of light at various place. Energy is most concentrate term in WSNs because it determines the aliveness of wireless sensor node. One of the most design objectives of WSNs is to minimizes node energy consumption and maximize the network life time [1][2]. Preserving the consumed energy of each node is an important objective that must be considered when developing a routing algorithm for wireless sensor networks. The rest of this paper is prepared as follows segment II briefly describes the applications of the WSN in different areas, Segment III describes the problem formulation, Segment IV gives general key issues of the various routing algorithms, Segment V includes a detailed study of the related research. The proposed algorithm is discussed in segment VI, segment VII discusses the simulation and its results and lastly concludes the paper
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