This paper is published in Volume-3, Issue-6, 2017
Area
Wireless Sensor Network
Author
Pushpa Yadav, Rohit Singhal
Org/Univ
Institute of Engineering & Technology, Alwar, Rajasthan, India
Keywords
Hybrid Data Collection, Mobile Element, Hierarchical Clustering, WSN
Citations
IEEE
Pushpa Yadav, Rohit Singhal. Implementation of Hybrid Data Collection (Mobile Element and Hierarchical Clustering) in WSN, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Pushpa Yadav, Rohit Singhal (2017). Implementation of Hybrid Data Collection (Mobile Element and Hierarchical Clustering) in WSN. International Journal of Advance Research, Ideas and Innovations in Technology, 3(6) www.IJARIIT.com.
MLA
Pushpa Yadav, Rohit Singhal. "Implementation of Hybrid Data Collection (Mobile Element and Hierarchical Clustering) in WSN." International Journal of Advance Research, Ideas and Innovations in Technology 3.6 (2017). www.IJARIIT.com.
Pushpa Yadav, Rohit Singhal. Implementation of Hybrid Data Collection (Mobile Element and Hierarchical Clustering) in WSN, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Pushpa Yadav, Rohit Singhal (2017). Implementation of Hybrid Data Collection (Mobile Element and Hierarchical Clustering) in WSN. International Journal of Advance Research, Ideas and Innovations in Technology, 3(6) www.IJARIIT.com.
MLA
Pushpa Yadav, Rohit Singhal. "Implementation of Hybrid Data Collection (Mobile Element and Hierarchical Clustering) in WSN." International Journal of Advance Research, Ideas and Innovations in Technology 3.6 (2017). www.IJARIIT.com.
Abstract
Wireless sensor network considers as real-time embedded system deployed in a particular region to sense various types of environmental parameters such as temperature, pressure, gas, humidity etc. The huge applications of WSN like habitat monitoring, forest fire detection, surveillance, transport monitoring etc. have created a lot of interest among the researcher community in recent past. Typically, WSNs are densely deployed in hazardous places where battery recharge or replacement is nearly impossible and human monitoring scheme is highly risky. There are many typical issues such as power constraints, limited computing capacity, open environment; radio connectivity makes the sensor nodes faulty many times. Once the network is established, nodes keep on sensing the information and the battery power goes exponentially. Whenever the nodes detect any event, they send the information to the other nodes or to the base station. Sometimes it happens that the same information received by nearby sensor nodes can be received by the base station that makes the network inefficient. To avoid this data redundancy and to make the network most energy efficient, data aggregation and sensor fusion have been emphasized in the literature. Many routing protocols with many different ideas have been proposed in the literature to make the network energy efficient. A cluster-based routing protocol is one of these efficient ideas, where sensor nodes are divided into a number of groups and each group is called as a cluster. One group leader is elected in each cluster known as
Cluster Head (CH). Data aggregation is obtained at the leader node. The leader node/CH is only responsible for sending the message to the BS. The general system model for clustering based WSN. LEACH is the first famous hierarchical routing protocol which is proven to be most efficient over traditional routing protocol. In LEACH, the CH is elected in a probabilistic manner and tries to balance the load at each sensor node on a rotation basis. In the proposed model, an attempt has been made to improve the performance of LEACH protocol in view of electing an appropriate Super Cluster Head (SCH) among the CHs by applying suitable fuzzy descriptors. Only SCH is allowed to send the message to the BS by reducing the number of message retransmissions performed by the CHs.