Square-odd scanning for WBAN to reduce detection time

Abstract

System Lifetime is a standout amongst the most critical measurements in Wireless Body Area Networks (WBANs). The increasing population needs large medical staff for the excellent healthcare services. Using sensor netwok in medical field might help to issue of the limitation of the medical staff across the world. The nodes of the sensor network remains active at all times whereas the utilization period of the sensor nodes is only 20% of the total time. This results in high energy consumption. This results in need of an efficient scanning technique for WBAN with dynamic active period.. Wireless sensing network uses very light sensors which have very low energy backup. So energy saving is very significant in such type of network. In this paper we propose Square-Odd scanning (SO) technique. This technique is used to detect any object efficiently, and also it preserve significant energy in wireless sensor environment. It periodically switches the sensors between sleeping and awake mode. Square-Odd scanning is an improved method for scan the object. It focuses on reduction in detection time of any object and increase the life period of sensor. The performance of the Square-Odd(SO) approach is good than all other previous scanning algorithms in field of detection time of any object.