In terms of the model configurations, the simulation-based approach used to validate our proposed technique indicates that scenarios where member nodes of a cluster was not needed for computation required for less resources for data transmission with increased energy consumption than scenarios that required both member nodes and cluster heads for computation. | International Journal of Computer Networks and Communications Security VOL. 5, NO. 6, JUNE 2017, 130–136 Available online at: E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) Energy Efficiency through Dynamic Packet Transmissions in Sensor Network Mohammed S. Al-kahtani Dept. of Computer Engineering, Prince Sattam bin Abdulaziz University, Saudi Arabia alkahtani@ ABSTRACT The work presented in this study proposes an efficient mechanism to reduce the computational and communicational costs associated with sensor network models. Specifically, the study focuses on two different models or topologies, each consisting of three different methods of data transmission for the purpose of reducing the interaction among network nodes when data measured at some instant, t-1, is equal to the data sensed at later instant, t. In terms of the model configurations, the simulation-based approach used to validate our proposed technique indicates that scenarios where member nodes of a cluster was not needed for computation required for less resources for data transmission with increased energy consumption than scenarios that required both member nodes and cluster heads for computation. Keywords: Sensor Network; Packet transmission; Single-hop; Multi-hop; Energy Efficiency. 1 INTRODUCTION Sensors play an important role in many emerging technologies such as opportunistic networks, big data and vehicular ad hoc networks. Therefore, enhancing the efficiency of sensor networks in terms of computation and energy consumption is integral for ubiquity of smart and efficient technologies. Consequently, a lot of studies have been devoted to the design of efficient routing protocols, network topologies, data aggregation, localization and many other approaches for sensor networks. Notwithstanding the progress recorded in these directions, the need to improve the computational costs required for sensors to transmit data directly to the cluster head (CH) or .
