With the promising technology of Wireless Sensor Networks (WSNs), lots of applications have been developed for monitoring and tracking in military, commercial, and educational environments. Characteristics of WSNs and resource limitation impose negative impacts on the performance and effectiveness of these applications. Imbalanced energy consumption among sensor nodes can significantly reduce t...

Most ZigBee sensor networks to date make use of nodes with limited processing, communication, and energy capabilities. Energy consumption is of great importance in wireless sensor applications as their nodes are commonly battery-driven. Once ZigBee nodes are deployed outdoors, limited power may make a sensor network useless before its purpose is complete. At present, there are two strategies fo...

| This paper presents a method for humanoid walking acquisition with less energy consumption based on a two-stage genetic algorithm. In the rst phase of genetic algorithm, in order to acquire the continuous walking motion, the tness function consists of a walking distance (longer is better). In the second phase, the tness function consists of a walking distance (longer) and energy consumption(l...

Reaching a balance between performance and energy consumption has always been a difficult objective to achieve for energy and power-aware applications. The work presented in this paper investigates the impact of using different coding styles to achieve a balance between performance and energy efficiency. The research also studies how different compilers may affect not only the performance of th...

–Wireless Sensor Networks (WSNs) differs from traditional wireless networks in several ways. One of them is energy constraints. Sensor nodes (SNs) are battery operated, with limited life and difficult to replace, if deployed in hostile environment. Therefore protocols in WSNs must be designed with minimum energy consumption to prolong the network life. In WSNs protocols are designed to minimize...

Wireless Sensor Networks can be used to monitor the physical phenomenon in such areas where human approach is nearly impossible. Hence the limited power supply is the major constraint of the WSNs due to the use of non-rechargeable batteries in sensor nodes. A lot of researches are going on to reduce the energy consumption of sensor nodes. Energy map can be used with clustering, data disseminati...

A Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. In sensing applications, data packets are flowing from sensor nodes to base station. In data collection processes, bottom up approach is used. In bottom up approach, all nodes send their sensed data packets to base stati...

Various Time Synchronization protocols for a Wireless Sensor Network (WSN) have been developed since time synchronization is important in many timecritical WSN applications. Aside from synchronization accuracy, energy constraint should also be considered seriously for time synchronization protocols in WSNs, which typically have limited power environments. This paper performs analysis of promine...

In wireless sensor networks (WSNs), nodes closer to the sink node have heavier traffic load for packet forwarding. The unbalanced power consumption among sensor nodes may cause network partition. This paper proposes efficient node placement and topology control protocols to balance the power consumption of sensor nodes. Firstly, a virtual tree topology is constructed based on Grid-based WSNs. T...

An integrated Artificial Neural NetworkParticle Swarm Optimization (PSO) is presented for analyzing global electricity consumption. To aim this purpose, following steps are done: STEP 1: in the first step, PSO is applied in order to determine world’s oil, natural gas, coal and primary energy demand equations based on socio-economic indicators. World’s population, Gross domestic product (GDP), o...