A Multi-clustering Approach to Achieve Energy Efficiency Using Mobile Sink in WSN
A wireless sensor network (WSN) consists of a large number of interconnected sensors, which provides unique features to visualize the real world scenario. It explores many opportunities in the field of research due to its wide range of applications in cur
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Abstract A wireless sensor network (WSN) consists of a large number of interconnected sensors, which provides unique features to visualize the real world scenario. It explores many opportunities in the field of research due to its wide range of applications in current fields that require survey and periodic monitoring which is inevitable in our daily life. However, the main limitations of such sensors are their resource constrained nature, mainly to conserve battery power for extending the network lifetime. We have proposed an algorithm for energy efficiency in WSN in which mobile sink node is used to operate the routing process considering the shortest path between multiple unequal clusters with reduced energy. This model also ensures non-occurrences of energy hole problems within the network area. Keywords WSN
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1 Introduction A WSN is a collection of sensors, which are constrained with limited battery power and are capable of performing communication in wireless medium. When multiple sensors are deployed in an area, all of them are expected to sense different types of events for collecting the sensed data from the network [1]. The received data is required to be further transmitted to the neighboring nodes. In wireless environment, data transmission consumes highest amount of energy over other tasks [2].
S.Pr. Nayak (✉) Department of CSE, Silicon Institute of Technology, Bhubaneswar, India e-mail: [email protected] S.C. Rai Department of IT, Silicon Institute of Technology, Bhubaneswar, India S. Pradhan Department of Computer Science, North Orissa University, Baripada, India © Springer Nature Singapore Pte Ltd. 2017 H.S. Behera and D.P. Mohapatra (eds.), Computational Intelligence in Data Mining, Advances in Intelligent Systems and Computing 556, DOI 10.1007/978-981-10-3874-7_75
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Every data packet consists of a field that stores the energy and node position by considering the maximum and minimum remaining battery. During data aggregation after receiving all the data from the network, sink gets to know the position of all sensor nodes. Here, while making decisions for the movement, sink chooses the node with the maximum residual battery [3]. Although optimization of energy consumption in areas of a network can expand the lifetime of the network to a certain amount of time, the balancing of energy for entire network cannot be found. Hence we propose an algorithm to increase the lifetime of WSN using sink mobility and multiple clustering concepts [4].
2 Related Work 2.1
Moving Scheme for Mobile Sinks in Wireless Sensor Network
For data collection process in WSN, if complete aggregated data from total network will forward to a mobile sink through multiple hops, then maximum energy will be consumed by the node which is more nearer to the sink for forwarding the data to other nodes or sink, which may create a situation where entire network will fail [4]. Introduction of mobile sink concept may enhance the network lifetime through less energy consump
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