Enhanced STR based geographic location in ZigBee wireless networks: a hybrid PSACO method

Abstract

ABSTRACT In many resource-limited devices, ZigBee tree routing is widely utilised as it does not need any route discovery and routing table overhead through send a packet of destination. Therefore, packet follows a tree topology; thus, it may not give optimal routing path. This is fundamental limitation of ZigBee tree routing. This manuscript, establishes an enhanced shortcut tree routing-based geographic location (ESTRBGL) protocol, which implements close optimal routing path and obtain ZigBee tree routing benefits like less memory consumption as well as no discovery overhead route. The proposed routing algorithm is a combination of particle swarm optimisation (PSO) as well as ant colony optimisation (ACO) algorithm, named PSACO. Initially, for finding optimal routing path the ZTR has certain network issues like detour route as well as concentrated traffic impact, since rectify to establish ESTRBGL. Simulation outcomes display that established method extensively improves diverse network performance depend on throughput, packet delivery ratio, residual energy, delay as well as energy consumption. The results shows that proposed routing method has better throughput of 2.66%, 1.73%, 4.01%, 20.83%, 20.61%, and 95.71%, 95.88%, 95.89%, 95.88%, 95.90%, while comparing with Opportunistic Shortcut Tree Routing (OSTR) as well as Directional Opportunistic Shortcut Tree Routing (DOSTR).