Energy Efficient Geography-Based Data Forwarding Algorithm for Multi-hop Wireless Sensor Network

High energy efficiency and lower delay of data delivery are the most critical and fundamental requirements for wireless sensor networks (WSNs). In this paper, EEGDF, as a novel energy efficient geography-based data forwarding algorithm, is proposed to prolong WSN lifetime and reduce multi-hop delay. Firstly, by utilizing dual radio channel cooperation of node and probability-based cooperation listening in each listening cycle of network, EEGDF can guarantee coherence of local connectivity degree of nodes, and reduce energy consumption of nodes in WSN. Secondly, by adopting the scheme of cost function and priority based on location information and quality of link, EEGDF can disperse the competition among the candidate forwarder nodes and select the optimal forwarder node to reduce delay and control overhead. Our simulation results show that EEGD outperforms GeRaF in terms of energy consumption, multi-hop delay, data delivery rate and balancing residual energy among the network nodes.