Optimal Number of Nodes Deployment Method in Corona-Based WSN

Wireless sensor networks (WSNs) consist of several nodes with limited and non-rechargeable power resources. Therefore, energy efficiency and network lifetime depend on the utilize way of sensor nodes. Recently, some methods and strategies have been employed in this regard. Most of them could improve network lifespan to an acceptable level. Energy hole is one of inherent problems which can decrease the network lifetime to 89%. In multi-hop WSNs, the sensors located closer to sink must relay more data packets in comparison with other ones, thus their power supplies will be exhausted earlier than other nodes. Whereas, the sensor nodes belonging to other layers still have required energy for transmitting their data packets. This asynchronous energy depletion is considered as a problem. In this paper, we present a mathematical model for non-uniform node deployment for corona-based WSNs. According to results, Optimal Number of Nodes Deployment Method (ONNDM) enhance the network lifetime via balancing energy consumption and workload among coronas. In ONNDM, the optimum number of nodes in each corona is obtained by a mathematical formula, which can outperform other proposed strategies

Distance-Based and Low Energy Adaptive Clustering Protocol for Wireless Sensor Networks

A wireless sensor network (WSN) comprises small sensor nodes with limited energy capabilities. The power constraints of WSNs necessitate efficient energy utilization to extend the overall network lifetime of these networks. We propose a distance-based and low-energy adaptive clustering (DISCPLN) protocol to streamline the green issue of efficient energy utilization in WSNs. We also enhance our proposed protocol into the multi-hop-DISCPLN protocol to increase the lifetime of the network in terms of high throughput with minimum delay time and packet loss. We also propose the mobile-DISCPLN protocol to maintain the stability of the network. The modelling and comparison of these protocols with their corresponding benchmarks exhibit promising results

Development Of Energy-Balanced Node Deployment Strategies To Reduce Energy Hole Problem In Wireless Sensor Networks

Rangkaian sensor tanpa wayar (WSNs) banyak-ke-satu (berasaskan korona), mempunyai banyak aplikasi yang berpotensi termasuk pemantauan alam sekitar, pemantauan kesihatan bioperubatan, dan pengumpulan data. Many-to-one corona-based Wireless Sensor Networks (WSNs) have many potential applications, including environmental monitoring, biomedical health monitoring, and data gathering. In a many-to-one network, sensor nodes located around the sink to relay data, consume more energy and die earlier compared to those in remote locations

Mitigating the Event and Effect of Energy Holes in Multi-hop Wireless Sensor Networks Using an Ultra-Low Power Wake-up Receiver and an Energy Scheduling Technique

This research work presents an algorithm for extending network lifetime in multi-hop wireless sensor networks (WSN). WSNs face energy gap issues around sink nodes due to the transmission of large amounts of data through nearby sensor nodes. The limited power supply to the nodes limits the lifetime of the network, which makes energy efficiency crucial. Multi-hop communication has been proposed as an efficient strategy, but its power consumption remains a research challenge. In this study, an algorithm is developed to mitigate energy holes around the sink nodes by using a modified ultra-low-power wake-up receiver and an energy scheduling technique. Efficient power scheduling reduces the power consumption of the relay node, and when the residual power of the sensor node falls below a defined threshold, the power emitters charge the nodes to eliminate energy-hole problems. The modified wake-up receiver improves sensor sensitivity while staying within the micro-power budget. This study's simulations showed that the developed RF energy harvesting algorithm outperformed previous work, achieving a 30% improvement in average charged energy (AEC), a 0.41% improvement in average energy (AEH), an 8.39% improvement in the number of energy transmitters, an 8.59% improvement in throughput, and a 0.19 decrease in outage probability compared to the existing network lifetime enhancement of multi-hop wireless sensor networks by RF Energy Harvesting algorithm. Overall, the enhanced power efficiency technique significantly improves the performance of WSNs

Applications of Prediction Approaches in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) collect data and continuously monitor ambient data such as temperature, humidity and light. The continuous data transmission of energy constrained sensor nodes is a challenge to the lifetime and performance of WSNs. The type of deployment environment is also and the network topology also contributes to the depletion of nodes which threatens the lifetime and the also the performance of the network. To overcome these challenges, a number of approaches have been proposed and implemented. Of these approaches are routing, clustering, prediction, and duty cycling. Prediction approaches may be used to schedule the sleep periods of nodes to improve the lifetime. The chapter discusses WSN deployment environment, energy conservation techniques, mobility in WSN, prediction approaches and their applications in scheduling the sleep/wake-up periods of sensor nodes

Improving The Fault Tolerance of Ad Hoc Routing Protocols using Aspect-oriented Programming

[ES] Las redes ad hoc son redes inalámbricas distribuidas formadas por nodos móviles que se ubican libremente y dinámicamente, capaces de organizarse de manera propia en topologías arbitrarias y temporales, a través de la actuación de los protocolos de encaminamiento. Estas redes permiten a las personas y dispositivos conectarse sin problemas rápidamente, en áreas sin una infraestructura de comunicaciones previa y con un bajo coste. Muchos estudios demuestran que los protocolos de encaminamiento ad hoc se ven amenazados por una variedad de fallos accidentales y maliciosos, como la saturación de vecinos, que puede afectar a cualquier tipo de red ad hoc, y el ruido ambiental, que puede afectar en general a todas las redes inalámbricas. Por lo tanto, el desarrollo y la implementación de estrategias de tolerancia a fallos para mitigar el efecto de las fallos, es esencial para el uso práctico de este tipo de redes. Sin embargo, los mecanismos de tolerancia a fallos suelen estar implementados de manera específica, dentro del código fuente de los protocolos de encaminamiento que hace que i) ser reescrito y reorganizado cada vez que una nueva versión de un protocolo se libera, y ii) tener un carácter completamente remodelado y adaptado a las nuevas versiones de los protocolos. Esta tesis de máster explora la viabilidad de utilizar programación orientada a aspectos (AOP), para desarrollar e implementar los mecanismos de tolerancia a fallos adecuados para toda una familia de protocolos de encaminamiento, es decir, las versiones actuales y futuras de un protocolo determinado (OLSR en este caso). Por otra parte, se propone una nueva metodología para ampliar estos mecanismos a diferentes familias de protocolos proactivos (OLSR, BATMAN y Babel) con un nuevo concepto de AOP, el metaaspecto. La viabilidad y efectividad de la propuesta se ha evaluado experimentalmente, estableciendo así un nuevo método para mejorar la implementación de la portabilidad y facilidad de mantenimiento de los mecanismos de tolerancia a fallos en los protocolos de enrutamiento ad hoc y, por lo tanto, la fiabilidad de las redes ad hoc.[EN] Ad hoc networks are distributed networks consisting of wireless mobile nodes that can freely and dynamically self-organize into arbitrary and temporary topologies, through the operation of routing protocols. These networks allow people and devices to seamlessly interconnect rapidly in areas with no pre-existing communication infrastructure and with a low cost. Many studies show that ad hoc routing protocols are threatened by a variety of accidental and malicious faults, like neighbour saturation, which may affect any kind of ad hoc network, and ambient noise, which may impact all wireless networks in general. Therefore, developing and deploying fault tolerance strategies to mitigate the effect of such faults is essential for the practical use of this kind of networks. However, those fault tolerance mechanisms are usually embedded into the source code of routing protocols which causes that i) they must be rewritten and redeployed whenever a new version of a protocol is released, and ii) they must be completely redeveloped and adapted to new routing protocols. This master thesis explores the feasibility of using Aspect-Oriented Programming (AOP) to develop and deploy fault tolerance mechanisms suitable for a whole family of routing protocols, i.e. existing and future versions of a given protocol (OLSR in this case). Furthermore, a new methodology is proposed to extend these mechanisms to different families of proactive protocols (OLSR, B.A.T.M.A.N and Babel) using a new concept in AOP, the meta-aspect. The feasibility and effectiveness of the proposal is experimentally assessed, thus establishing a new method to improve the deployment, portability, and maintainability of fault tolerance mechanisms for ad hoc routing protocols and, therefore, the dependability of ad hoc networks.Bustos Rodríguez, AJ. (2012). Improving The Fault Tolerance of Ad Hoc Routing Protocols using Aspect-oriented Programming. http://hdl.handle.net/10251/18421Archivo delegad

DOW-PR dolphin and whale pods routing protocol for underwater wireless sensor networks (UWSNs)

Underwater Wireless Sensor Networks (UWSNs) have intrinsic challenges that include long propagation delays, high mobility of sensor nodes due to water currents, Doppler spread, delay variance, multipath, attenuation and geometric spreading. The existing Weighting Depth and Forwarding Area Division Depth Based Routing (WDFAD-DBR) protocol considers the weighting depth of the two hops in order to select the next Potential Forwarding Node (PFN). To improve the performance of WDFAD-DBR, we propose DOlphin and Whale Pod Routing protocol (DOW-PR). In this scheme, we divide the transmission range into a number of transmission power levels and at the same time select the next PFNs from forwarding and suppressed zones. In contrast to WDFAD-DBR, our scheme not only considers the packet upward advancement, but also takes into account the number of suppressed nodes and number of PFNs at the first and second hops. Consequently, reasonable energy reduction is observed while receiving and transmitting packets. Moreover, our scheme also considers the hops count of the PFNs from the sink. In the absence of PFNs, the proposed scheme will select the node from the suppressed region for broadcasting and thus ensures minimum loss of data. Besides this, we also propose another routing scheme (whale pod) in which multiple sinks are placed at water surface, but one sink is embedded inside the water and is physically connected with the surface sink through high bandwidth connection. Simulation results show that the proposed scheme has high Packet Delivery Ratio (PDR), low energy tax, reduced Accumulated Propagation Distance (APD) and increased the network lifetime