Maximum Amount Shortest Path Algorithm for Efficient Data Collection in Wireless Sensor Network?

Data collection is a fundamental task in Wireless Sensor Network. In Wireless Sensor Networks, collecting large amount of data directly from a node may cause several problems. The freshness of data depends on the data collection process is as much faster as possible. Many of the data collection algorithms introduced so far did not concentrate on the requirements and complex scenarios of Wireless Sensor Network. In this paper, the basic idea about different data collection algorithms are described and one of the novel techniques called Maximum Amount Shortest Path (MASP) is proposed to overcome the issue in the Data Aggregation algorithm. The data collection process is effectively scheduled in MASP algorithm. It is also used to identify clearly where the incident takes place in the network. It aggregates the packets at the multiple sources to single destination node level and a single node broadcasts the data to all other nodes by acting as cluster head. The main goal of novel MASP algorithm is to reduce the energy consumption with less data conflict and minimize delay for improving the network performance. The performance of the proposed MASP algorithm for Wireless Sensor Network is analyzed in terms of parameters such as Throughput, Packet Delivery Ratio (PDR), End-to-End Delay and Energy Consumption.