## 1 Introduction  
The demand for electric power for industrial purposes is growing rapidly. Many transportation vehicles and uninterruptible power supply (UPS) systems that are used in heavy industries require electric power for their smooth operation. These vehicles and UPS systems are equipped with lead-acid batteries as an alternate source of electric power. In addition, fuel saving strategies that actively utilize the power from these batteries [1] are being considered. Therefore, a reliable battery system is indispensable for effective operation in industry. However, it is to be noted that these batteries are considerably costlier and excessive use could result in their malfunction. Also, the damaged lead-acid batteries can have a negative impact on the environment during the recycling process. It is therefore very important to continuously monitor the development and management of these batteries to preclude undue damage and prolong the lifetime of the battery. In technical terms, the effect of the overuse of these batteries could reduce the lifetime operation and in the worst case can lead to system failure, a highly undesirable situation in heavy industries. There are several ongoing studies underway to find a solution by effective remote monitoring based on Internet of things (IoT). IoT is a multitude integration of several fields such as sensor networks, embedded systems, data processing and fusion, intelligent control, task scheduling and allocation, etc. [PERSON] et al. briefly analyzed the IoT phenomenon from an evolutionary point of view [2], by emphasizing that the IoT has undergone several transformations in its characterizing technologies and principles and provided a conceptual framework. A low-cost embedded system approach for energy monitoring in industrial environments is proposed in [3]. The authors demonstrated a complete system for monitoring and analysis of electrical parameters, serving as a tool to aid the energy management in industrial processes. [PERSON] et al. proposed a system to make crankshaft smarter by using radio frequency identification (RFID) tags [4]. The authors showed that by using a RFID bolt, crankshafts could be tracked throughout their machining and assembly processes. A novel closed-loop design evolution of the engineering system using condition monitoring through IoT and a cloud computing platform is proposed in [5]. The authors employed condition monitoring in the design improvement process by evaluating the system performance, detecting system failure and estimating system heath status. [PERSON] et al. designed a task-efficient sink node (TESN) based on embedded multi-core system-on-chip (SoC) for IoT [6]. The authors also proposed master-slave architecture and a weighted-least connection (WLC) task schedule strategy to allocate the tasks for slave cores in order to achieve lower congestion and better load balance for the parallel computing. [PERSON] et al. developed a prototype based on IoT that enables the joint evaluation and optimization of multidisciplinary aspects of IoT systems, including aspects related to hardware design, communications and data processing [7]. A wireless remote monitoring system based on a general packet radio service (GPRS) is presented in [8]. The authors demonstrated that their proposed system could be used to monitor the operating states of the lead-acid battery groups in telecommunication base stations. Moreover, the authors conducted the field testing of their proposed system over a GPRS network and the Internet, proving the stability and performance of the remote battery group monitoring system. [PERSON] et al. developed a remote monitoring system to obtain a premature failure diagnoses in stationary lead-acid batteries through the measurement of their internal resistance and voltage [9]. Further, the authors included all the management and analysis of these measurements in battery management software. An online monitoring terminal for electric vehicles based on GPRS wireless communication is proposed in [10; 11].