Advanced GPSR in Mobile Ad-hoc Networks (MANETs)
Mohammad Alnabhan, Mutah University Karak, Jordan
This work aims to develop the routing capability of GPSR in MANETs. A new GPSR advancement described as Adaptive GPSR (AGPSR) is proposed with enhanced greedy forwarding and efficient routing decision. AGPSR greedy forwarding model consists of three major phases; initialization, finding target neighbor, weight value computation and next hop selection. The weight value encounters a set of network metrics including node density, network size, congestion level, transmission range, node speed and movement direction. An intensive evaluation methodology was implemented in order to evaluate the performance of proposed AGPSR in MANET. Results confirm that proposed GPSR has surpassed several MANET environmental challenges and outperformed conventional GPSR in terms of PDR, E2E delay, routing overhead, and power consumption. The delay is reduced by AGPSR of up-to 10% compared to conventional GPSR. In addition, 5% increase in PDR and more than 7% decrease in routing overhead and in power consumption was achieved by AGPSR.
Alnabhan, M. (2020). Advanced GPSR in Mobile Ad-hoc Networks (MANETs). International Association of Online Engineering.