Cluster based Multipath routing to minimize delay, congestion and energy consumption in Wireless Sensor Network
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 10
Abstract
Wireless Sensor Network (WSN) usually comprises of many sensors that detect any changes in the environment such as temperature, humidity, pressure, smokes, etc. Wireless Sensor Network is very Energy Confined networks. Data transfer takes place in “multi-hop fashion”in Wireless Sensor Network. The sensor nodes send their data to their neighbor sensor, this neighbor sensor transmits the data to another neighbor and this process continues until it reaches the destination/sink. In this way, hop by hop sensors transmit their data to the sink. Wireless Sensor Network using Static Sink generally causes the nearest nodes to deplete energy very quickly, causing ‘hotspot problem’ or ‘energy hole problem’. Sensors are transmitting the data to the nearest sensor at the same time, due to heavy load, sensor nearest to the sink may not be able to deliver the data at the same time to the sink which causes an increase in delay, congestion, packet losses, routing overheads and also reduces the packet delivery ratio. The objective of the proposed work is to minimize the delay and traffic in the data collection process in the wireless network structure. We have employed a mobile sink not only to minimize energy consumption, but also delay, congestion, packet losses, routing overheads and to increase the network lifetime with high packet delivery rate. Each sensor in the clusters will be transmitting their data to the sink with multipath routing, following an efficient route provided by optimization technique Genetic Algorithm and Particle Swarm optimization. We have used both Static sink and Movable sink, by our simulation results we have shown that movable sink is not only useful in minimizing the energy consumption, but also helpful in minimizing the end to end delay, congestion, packet losses, routing overheads, indirectly increasing the network lifetime with high packet delivery rate. We have simulated the Wireless Sensor Network in Network Simulator 2.
Authors and Affiliations
Ajaz Ahmed Khan, Himani Agrawal
Keywords
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