Improved Coverage of Node Placement using Greedy Approach on Scent Marking of Territorial Predator

Abstract

WSN has an implementation problem of the placement, coverage, connectivity and energy of senor nodes
(SNs) in the given area. Coverage make sure the observing region is covered by at least one SN while connectivity is
required to make sure that each SN is straight associated to the sink node or not directly associated to the sink node via
any other SNs. A SN placement technique that employs a novel biologically inspired optimization method that
impersonates the behaviour of territorial predators in spotting their domains with their aroma perceived as Territorial
Predator Scent Marking Algorithm (TPSMA). The chief objectives measured in this paper are to attain highest coverage
and lowest energy consumption with certain connectivity. A simulation consider has been done to survey the assess of the
proposed algorithm completed with the base technique. With the help of greedy algorithm coverage range, uniformity
and area covered are improved in our proposed work. Maximum area is covered by using less number of sensor nodes in
the WSN.