Summary In this research work, a survey on Wireless Sensor Networks (WSN) and their technologies, standards and applications was carried out. Wireless sensor networks consist of small nodes with sensing, computation, and wireless communications capabilities. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. Routing protocols in WSNs might differ depending on the application and network architecture. A multidisciplinary research area such as wireless sensor networks, where close collaboration between users, application domain experts, hardware designers, and software developers is needed to implement efficient systems. The flexibility, fault tolerance, high sensing fidelity, low cost, and rapid deployment characteristics of sensor networks create many new and exciting application areas for remote sensing. In the future, this wide range of application areas will make sensor networks an integral part of our lives. However, realization of sensor networks needs to satisfy the constraints introduced by factors such as fault tolerance, scalability, cost, hardware, topology change, environment, and power consumption.

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Wireless Sensor Networks and Applications: a Survey

Game theory (GT) is a mathematical method that describes the phenomenon of conflict and cooperation between intelligent rational decision-makers. In particular, the theory has been proven very useful in the design of wireless sensor networks (WSNs). This article surveys the recent developments and findings of GT, its applications in WSNs, and provides the community a general view of this vibrant research area. We first introduce the typical formulation of GT in the WSN application domain. The roles of GT are described that include routing protocol design, topology control, power control and energy saving, packet forwarding, data collection, spectrum allocation, bandwidth allocation, quality of service control, coverage optimization, WSN security, and other sensor management tasks. Then, three variations of game theory are described, namely, the cooperative, non-cooperative, and repeated schemes. Finally, existing problems and future trends are identified for researchers and engineers in the field.

https://www.mdpi.com/1424-8220/12/7/9055/pdf

Game theory for Wireless Sensor Networks: a survey.

Wireless sensor networks (WSNs) consist of autonomous and resource-limited devices. The devices cooperate to monitor one or more physical phenomena within an area of interest. WSNs operate as stochastic systems because of randomness in the monitored environments. For long service time and low maintenance cost, WSNs require adaptive and robust methods to address data exchange, topology formulation, resource and power optimization, sensing coverage and object detection, and security challenges. In these problems, sensor nodes are used to make optimized decisions from a set of accessible strategies to achieve design goals. This survey reviews numerous applications of the Markov decision process (MDP) framework, a powerful decision-making tool to develop adaptive algorithms and protocols for WSNs. Furthermore, various solution methods are discussed and compared to serve as a guide for using MDPs in WSNs.

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3855&context=sis_research

Markov Decision Processes With Applications in Wireless Sensor Networks: A Survey

Energy-efficiency is the main concern in most Wireless Sensor Network (WSN) applications. For this purpose, current WSN MAC (Medium Access Control) protocols use duty-cycling schemes, where they consciously switch a node's radio between active and sleep modes. However, a node needs to be aware of (or at least use some mechanism to meet) its neighbors' sleep/active schedules, since messages cannot be exchanged unless both the transmitter and the receiver are awake. Asynchronous duty-cycling schemes have the advantage over synchronous ones to eliminating the need of clock synchronization, and to be conceptually distributed and more dynamic. However, the communicating nodes are prone to spend more time waiting for the active period of each other, which inevitably influences the one-hop delay, and consequently the cumulative end-to-end delay. This paper reviews current asynchronous WSN MAC protocols. Its main contribution is to study these protocols from the delay efficiency perspective, and to investigate on their latency. The asynchronous protocols are divided into six categories: static wake-up preamble, adaptive wake-up preamble, collaborative schedule setting, collisions resolution, receiver-initiated, and anticipation-based. Several state-of-the-art protocols are described following the proposed taxonomy, with comprehensive discussions and comparisons with respect to their latency.

Survey on Latency Issues of Asynchronous MAC Protocols in Delay-Sensitive Wireless Sensor Networks

Thank you for downloading simulation and software radio for mobile communications. Maybe you have knowledge that, people have look hundreds times for their chosen books like this simulation and software radio for mobile communications, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some harmful bugs inside their computer.

Simulation And Software Radio For Mobile Communications

Networking community is largely depend on simulation to evaluate the behavior and performance of protocols for wireless networks, simulations are a good compromise between cost and complexity, on the one hand, and accuracy of the results, on the other hand. Since there are many simulators for wireless networks, it is often difficult to decide which simulator to choose. To help shed light on this issue, we discuss six “Widely Used” network simulation tools along with their associated strengths and weakness. To determine the state of wireless networks simulation studies, we surveyed the several primer conferences papers from years 2000-2008.  From our survey, we found some important pitfalls and issues. We then summarize simulation study pitfalls found in our survey. Finally, we present our research results with the hope to aid developers in the selection of an appropriate simulation tool and to show them how to avoid common pitfalls to improve the reliability and repeatability of simulation based studies.

A Case Study of Networks Simulation Tools for Wireless Networks

Game Theory provides a mathematical tool for the analysis of interactions between the agents with conflicting interests, hence it is well suitable tool to model some problems in communication systems, especially, to wireless sensor networks (WSNs) where the prime goal is tominimize energy consumption than high throughput and low delay. In this paper, we use the concept of incomplete cooperative game theory to model an energy efficient MAC protocol for WSNs. This allows us to introduce improved backoff algorithm for energy efficient MAC protocol in WSNs. Finally, our research results show that the improved back off algorithm can improve the overall performance as well as achieve all the goals simultaneously for MAC protocol in WSNs.

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An energy-efficient MAC protocol in wireless sensor networks: a game theoretic approach

The key challenge faced by future wireless communications systems is to provide high-data-rate wireless access at high quality of service (QOS). Multiple-input multiple-output (MIMO) wireless technology seems to meet these demands by offering increased spectral efficiency through spatial multiplexing gain, and improved link reliability due to antenna diversity gain. OFDM may be combined with antenna arrays at the transmitter and receiver to increase bandwidth efficiency and robustness using multipath signal propagation, resulting in a MIMO-OFDM configuration. The forward error correction (FEC) along with powerful interleaving algorithms plays an important role in the improvement of the performance of the MIMO-OFDM systems. In this paper we have designed a simple MIMO OFDM system with convolutional coding with code rate 1/2 and analysed the performance of the system using different antenna configuration in AWGN channel. It was concluded higher antenna configuration give best performance.

Design and performance analysis of MIMO-OFDM system using different antenna configurations

The modern information society will continue to emerge, and demand for wireless communication services will grow. Future generation wireless networks are considered necessary for the support of emerging services with their increasing requirements. Future generation wireless networks are characterized by a distributed, dynamic, self-organizing architecture (I. F. Akyildiz et al., 2006). These wireless networks are broadly categorized into different wireless networks according to their specific characteristics. Typical examples include Ad-Hoc/Mesh Networks, Sensor Networks, Cognitive Radio Networks, etc as shown in figure 1. These wireless networks could then constitute the infrastructure of numerous applications such as emergency and health-care systems, military, gaming, advertisements, customer-to-customer applications, etc. Not only their importance in military applications is growing, but also their impact on business is increasing. The emergence of these wireless networks created many open issues in network design too. More and more researchers are putting their efforts in designing the future generation wireless networks.

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Network and System Simulation Tools for Next Generation Networks: a Case Study

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Saurabh Mehta

Papers

A Case Study of Networks Simulation Tools for Wireless Networks

An energy-efficient MAC protocol in wireless sensor networks: a game theoretic approach

Design and performance analysis of MIMO-OFDM system using different antenna configurations

Network and System Simulation Tools for Next Generation Networks: a Case Study

Application of Game Theory to Wireless Networks