Sharif Digital Repository

This research presents an efficient thermal-aware routing protocol based on Shortest Hop Routing algorithms for implanted bi medical sensor network. Implanted biomedical sensor networks provide a major application of sensor networks in the near future. These in-vivo sensor nodes collect desired biometric data and communicate the data wirelessly to a base-station through a multi-hop network. They generate the heat due to wireless communication and circuitry power consumption. A high temperature of the in-vivo nodes for a prolonged period might damage the surrounding tissues. Most of the protocols for sensor networks don’t take the thermal issue as a factor in the routing of packets. In its... 

Wireless sensor networks (WSNs) have recently achieved a great deal of attention due to its numerous attractive applications in many different fields. Sensors and WSNs possesses a number of special characteristics that make them very promising in many applications, but also put on them lots of constraints that make issues in sensor network particularly difficult. These issues may include topology control, routing, coverage, security, and data management. In this thesis, we focus our attention on the coverage problem. Firstly, we study the best current solutions in the literature. We choose one of them as the basis of our work and study it thoroughly as the core model of our coverage model.... 

Routing is one of the most challenging areas in wireless sensor networks because it has a significant impact on energy usage, transmit delay and network fault tolerance. In many situations, network nodes move around and it cause numerous challenges, namely changes in routing paths, failure in sending packets or maybe there is no end-to-end path. Opportunistic routing is one of the best solutions to these problems in mobile wireless sensor networks, thus it provides more efficient routing and less energy consumption in comparison with traditional routings.
In opportunistic routing, nodes try to utilize every opportunity to send their packets to sink. When two nodes are encountered, the... 

Due to the advances in wireless communications and electronics over the last few years, the development of networks of low-cost, low-power, and multifunctional sensors has received increasing attention. Most important constraints of this network are energy and bandwidth. Data aggregation is one of the effective approaches for reducing energy consumption in wireless sensor networks. Recent research on data collection reveals that, rather than reporting data through long, multi-hop and error-prone routes to a static sink using tree or cluster network structure, allowing and leveraging sink mobility is more promising for energy efficient data gathering. In this work we proposed an effective... 

Wireless sensor network (WSN) is a wireless network composed of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions data such as temperature, pressure, humidity, and so on[1-4]. In recently years, WSN has been applied to widely various areas. Since sensors are equipped with small batteries, which are costly if not impossible to recharge or replace, sensor network operations must be energy efficient in order to maximize the network lifetime. Given the power constraints in sensors, investigations into routing protocols in order to extend the... 

Today with growth of wireless communications and progress of small and cheap sensors which have capability of communication and calculation, wireless sensor networks are important and useful topic. But due to energy restrictions, efficient use of resources and increasing network lifetime, have been considered as key factors in network design. In this regard, using efficient multicast routing in energy consumption, for an efficient data transmission to specific number of nodes instead of all nodes code updates, information requests, task assignments and etc., is necessary.On the other hand these networks use unlicensed spectrum and suffer from collision due to congestion caused by other... 

Wireless sensor networks (WSNs) consume energy for their sensing, computation, and communication. To extend the lifetime of the network, sensor nodes are equipped with energy storage devices. Recharging their batteries is impossible in most applications. Therefore, energy consumption needs to be monitored and be limited to extend the high performance operation of the network. In this network, the communication module consumes the highest amount of energy. While several methods are proposed to reduce the energy consumption, data compression is one of the most effective ways for energy management by reducing the number of bits to be broadcast. To determine the energy efficiency of the... 

Sensor Localization is a crucial part of many location‐dependent applications that utilize wireless sensor networks (WSNs). Several approaches, including range‐based and range‐free, have been proposed to calculate the position of randomly deployed sensor nodes. With specific hardware, the range‐based schemes typically achieve high accuracy based on either node‐to-node distances or angles. On the other hand, the range‐free mechanisms support less positioning accuracy with less expense. The proposed scheme is based on range‐free localization, which utilizes the received signal strength (RSS) from the anchor nodes. In this work, genetic fuzzy and neuro-fuzzy systems are used to yield more... 

Wireless Sensor Networks (WSN) are wildly utilized in surveillance and controling applications, and because of their remote and standalone operation, lifetime and reliability of a typical WSN are two main concerns in these networks. One of the reliability threatening issues in a WSN is residual accessible energy for each node. Nowadays, energy harvesting systems are used in WSN nodes to catch environmental energy, and reduce the energy limitation. However, because of inherent uncertainty of energy harvesting systems, the networks that operate using environmental energy have new reliability issues. Different rate of energy harvesting, according to environmental conditions, is one of the most... 

With improving of technology, using of Wireless Sensor Networks (WSN) is rapidly increasing. In some application, wireless sensor network do need to supply realtimeness. In the other hand, in many cases, sensor networks are in risky environments distributed. Therefore, security is a key factor in sensor networks to performing their works properly optimized and maximum. Hence, both security and realtimeness features are important features of sensor networks. But because of common resource use, increasing efficiency of a feature will result in decreasing efficiency of other feature. In this thesis, we indicated to study mutual effect of security and realtimeness in Wireless Sensor Networks in... 

Recent advancement in wireless communications, electronics, low power design and also tendency to use high performance low cost products have led to emergence of Wireless Sensor Networks (WSNs). As the main purpose of a WSN is information gathering and it’s transmission to the sink node, the main problem is to deliver information correctly with minimum energy consumption. Besides, whereas the majority of developed applications for WSNs are event-critical applications, achieving reliable data transfer as the main factor of dependability and quality of service seems vital. However, data transmission is unreliable over multi-hop WSN due to the unreliability of wireless links and node failures. ...