Noor Zaman

Energy efficient routing protocol for wireless sensor network

Nowadays Wireless Sensor Networks WSNs are playing a vital role in several application areas ranging health to battlefield Wireless sensor networks are easy to deploy due to its unique characteristics of size and self-organizing networks. Wireless sensor nodes contain small unchangeable and not chargeable batteries. It is a resource constraint type network Routing in WSN is most expensive task as it utilizes more power resources. This paper is intended to introduce energy efficient routing protocol known as Position Responsive Routing Protocol (PRRP) to enhance energy efficiency of WSN. Position responsive routing protocol differs in several ways than other existing routing techniques. Position response routing protocol approach allows fair distribution of gateway\cluster head selection, maximum possible distance minimization among nodes and gateways\cluster heads to utilize less energy. Position responsive routing protocol shows significant improvement of 45% in energy efficiency of wireless sensor network life time as a whole by increasing battery life of individual nodes. Furthermore PRRP shows drastic increases for data throughput and provide better solution to routing energy hole due to it fair distributed approach of gateway selection.

Enhancing Energy Efficiency of Wireless Sensor Network through the Design of Energy Efficient Routing Protocol

Wireless Sensor Network (WSN) is known to be a highly resource constrained class of network where energy consumption is one of the prime concerns. In this research, a cross layer design methodology was adopted to design an energy efficient routing protocol entitled “Position Responsive Routing Protocol” (PRRP). PRRP is designed to minimize energy consumed in each node by (1) reducing the amount of time in which a sensor node is in an idle listening state and (2) reducing the average communication distance over the network. The performance of the proposed PRRP was critically evaluated in the context of network lifetime, throughput, and energy consumption of the network per individual basis and per data packet basis. The research results were analyzed and benchmarked against the well-known LEACH and CELRP protocols. The outcomes show a significant improvement in the WSN in terms of energy efficiency and the overall performance of WSN.

Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management

The study of Wireless Sensor Networks (WSN) is a continually growing, as these networks have the advantage of easy deployment for a number of different applications. Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management focuses on wireless sensor networks and their operation, covering topics including routing, energy efficiency and management. Containing 27 chapters authored by a group of internationally experienced professionals and researchers in the fields of computer science, communication, and networking, this book discusses critical issues in wireless sensor network research including MAC, Routing Protocols, TCP, performance and traffic management, time synchronization, and security.

Optimization of energy usage in Wireless Sensor Network using Position Responsive Routing Protocol (PRRP)

Wireless Sensor Networks (WSNs) consist of numerous tiny nodes powered by very small batteries that are normally non-rechargeable. Many researchers have thus focused on the issue of optimizing energy efficiency in WSNs. Their research have shown that routing operation is in fact the main energy expensive operation in the WSN because it tends to utilize maximum energy resources in the network. A good number of routing protocols have been designed in the past in the context of energy efficiency/optimization using different approaches under certain predefined control conditions. We propose in this paper an energy optimization protocol called Position Response Routing Protocol (PRRP) that incorporated the global positioning system (GPS). Our simulation results show a significant improvement in the life cycle of the WSN with respect to the proposed protocol.

Energy Optimization through Position Responsive Routing Protocol (PRRP) in Wireless Sensor Network

Wireless Sensor Networks (WSNs) are consist of very tiny nodes structure, with very small batteries without having facility to recharge it. It works under any hard circumstances, hence this type of network is gaining high importance day by day. Maximum focus of researchers is to enhance or optimized its energy efficiency level. Routing protocol is the main energy expensive operation of sensor networks which utilize maximum energy resources of sensor network. Already a good number of routing protocols has been designed for energy efficiency or optimization with different approaches under controlled conditions. With this research we try to propose energy optimization of wireless sensor network through our proposed position response routing protocol (PRRP), under certain controlled parametric consideration. Research results shows a significant energy optimization in the life cycle of WSN. Index Terms—WSN, energy efficient, WSN routing protocol, GPS, PRRP, energy optimization

Enhancing routing energy efficiency of Wireless Sensor Networks

Nowadays Wireless Sensor Networks WSNs are playing a vital role in several application areas ranging health to battle field. Wireless sensor networks are easy to deploy due to its unique characteristics of size and self-organizing networks. Wireless sensor nodes contain small unchangeable and not chargeable batteries. It is a resource constraint type network. Routing in WSN is most expensive task as it utilizes more power resources. This paper is intended to introduce energy efficient routing protocol, known as Position Responsive Routing Protocol (PRRP) to enhance energy efficiency of WSN. Position responsive routing protocol differs in several ways than other existing routing techniques. Position response routing protocol approach allows fair distribution of gateway\cluster head selection, maximum possible distance minimization among nodes and gateways\cluster heads to utilize less energy. Position responsive routing protocol shows significant improvement of 45% in energy efficiency of wireless sensor network life time as a whole by increasing battery life of individual nodes. Furthermore PRRP shows drastic increases for data throughput and provide better solution to routing energy hole due to it fair distributed approach of gateway selection. This work is the extension of Energy efficient routing protocol for wireless sensor network published in IEEE ICACT 2014.

Review: Smartphones power consumption & energy saving techniques

The rapid development of the smartphones penetrated in every aspect of daily life starting from the health care, education, economics, social life etc. The prominence of the smartphones comes due to their size and connectivity, size made them the first handy personal computer available for 24\7 to the users. Unfortunately, the power of these smart devices and applications are limited and dependent on their battery power, which directly effects their usability. To overcome the shortage of battery life, scientists conducted several researches to get more power efficient hardware components, operating system and applications. This paper introduces review to the different techniques introduced to reduce the power consumptions in smartphones by using any mean.

Rubric based assessment plan implementation for Computer Science program: A practical approach

Assessment is a systematical process of collecting, analyzing and employing quantitative and qualitative data from different resources about educational programs, to improve students learning, and to evaluate whether Program outcomes are being achieved or not. This paper presents rubric based assessment plan for Accreditation Board of Engineering and Technology (ABET) specified A-K Program outcomes evaluation for Computer Science program. This paper also demonstrates an effective and efficient practical approach to evaluate the Program outcomes for quality enhancement.

Energy efficient middleware: Design and development for mobile applications

Over the recent years, the popularity of smartphones has increased dramatically. The advanced integrated technology in smartphones like GPS, high-speed CPU, a real world coloured display, Wi-Fi and Bluetooth etc. All these within small size light weight device attracts people a lot to obtain them. The stated capacities of those components motivate developers to create millions of useful applications. However, smartphone devices are energy constraint as they rely on limited battery power supply that has not been increased at the same pace to support the power demands. As both the hardware and the software tend to drain the battery power, the demand for energy efficient applications has increased to keep the mobile devices useful. Optimization related to memory data access create significant difference to performance and power consumption of broad range of dataintensive application. Memory Data layout transformation represents a very interesting class of optimizations. Transform Array of Structure (AOS) to Structure of Array (SOA) is one of the commonly applied and recognized transformation. The transformation reduces the memory access count and subsequently reduces the memory access energy. Thereby, we introduce data layout transformation service as solution to minimize the power consumed by application. The Service will convert the data layout in memory from AOS to SOA. The conversion will reduce the power consumed by memory and processor. Eventually, result in efficient and extended battery life.

Software Development Techniques for Constructive Information Systems Design

Software development and information systems design have a unique relationship, but are often discussed and studied independently. However, meticulous software development is vital for the success of an information system.Software Development Techniques for Constructive Information Systems Design focuses the aspects of information systems and software development as a merging process. This reference source pays special attention to the emerging research, trends, and experiences in this area which is bound to enhance the readers understanding of the growing and ever-adapting field. Academics, researchers, students, and working professionals in this field will benefit from this publications unique perspective.