DATA FORWARDING ENHANCEMENT STRATEGY IN SENSOR NETWORKS

Nowadays, Internet of Things (IoT) and Sensor Networks (SNs) consider the transformative technologies that enable ubiquitous connectivity and data collection in various fields. In distributed sensor networks, the nodes are responsible on environments monitoring for sensing and collecting various conditions. The forwarding process for these data gains a significant attention in the researches because it considers the first step for the operation of any algorithm or techniques in routing process in any type of wireless networks. In general, during any routing process, the node with data needs to select its next hop efficiently and thus will affect the optimum route from source to destination. The most common techniques that utilized in this step are the flooding and gossiping. These two techniques suffer from different problems such as implosion, overlaps and blindness of any resources. Therefore, this paper proposed an efficient technique for best next hop selection by taking in consideration the main resources that effect the sensor’s power level and thus will reduce the power consumption and then will improve network lifetime. In the proposed technique, the node that has maximum power level, nearest to the current node and it does not receive or send the required packet will be selected as the next hop node. These assumptions help mitigate flooding and gossiping issues. The proposed technique has been implemented using MATLAB simulator. The results show that the proposed system has reduce the node’s power exhausting in single cycle and thus has improve network’s performance