Analysis and Improve Packet Delay Problem in Wireless Sensor Networks

2011 ◽  
Vol 4 (4) ◽  
pp. 210-213
Author(s):  
G.RAJAVARMAN G.RAJAVARMAN ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-22
Author(s):  
Emmanuel García-González ◽  
Juan C. Chimal-Eguía ◽  
Mario E. Rivero-Angeles ◽  
Vicent Pla

Wireless sensor networks (WSNs) have been extensively studied in the literature. However, in hostile environments where node connectivity is severely compromised, the system performance can be greatly affected. In this work, we consider such a hostile environment where sensor nodes cannot directly communicate to some neighboring nodes. Building on this, we propose a distributed data gathering scheme where data packets are stored in different nodes throughout the network instead to considering a single sink node. As such, if nodes are destroyed or damaged, some information can still be retrieved. To evaluate the performance of the system, we consider the properties of different graphs that describe the connections among nodes. It is shown that the degree distribution of the graph has an important impact on the performance of the system. A teletraffic analysis is developed to study the average buffer size and average packet delay. To this end, we propose a reference node approach, which entails an approximation for the mathematical modeling of these networks that effectively simplifies the analysis and approximates the overall performance of the system.


2018 ◽  
Vol 1 (2) ◽  
pp. 65-72
Author(s):  
I Nyoman Buda Hartawan ◽  
I Gusti Made Ngurah Desnanjaya

Wireless sensor network is a technology used in supporting monitoring activities both inside and outside environment. Data communication on wireless sensor networks is done wirelessly. The Zigbee protocol is one of the protocols used in data communication on wireless sensor networks as an implementation of XBEE devices. In this study measurement of Zigbee protocol performance on XBEE devices inside and outside environment. The measurement conditions in the room are limited by the wall partition, while the outdoor conditions are line of sight. Measurements were made by sending packet data using XCTU software, by testing distance parameters, packet delay, packet loss, RSSI, and throughput with 84 Bytes packet data size. The results showed that the measurement results of XBEE Pro S2 devices that were carried out indoors were able to communicate with a maximum distance of 30 meters, while the outdoor measurements showed the communication capability of XBEE Pro S2 devices reached a maximum distance of 600 meters.


2016 ◽  
Vol 2016 ◽  
pp. 1-9
Author(s):  
Sang Hoon Lee ◽  
Hyeokman Kim ◽  
Lynn Choi

In wireless sensor networks (WSNs), each node controls its sleep to reduce energy consumption without sacrificing message latency. In this paper we apply the game theory, which is a powerful tool that explains how each individual acts for his or her own economic benefit, to analyze the optimal sleep schedule for sensor nodes. We redefine this sleep control game as a modified version of the Prisoner’s Dilemma. In the sleep control game, each node decides whether or not it wakes up for the cycle. Payoff functions of the sleep control game consider the expected traffic volume, network conditions, and the expected packet delay. According to the payoff function, each node selects the best wake-up strategy that may minimize the energy consumption and maintain the latency performance. To investigate the performance of our algorithm, we apply the sleep control game to X-MAC, which is one of the recent WSN MAC protocols. Our detailed packet level simulations confirm that the proposed algorithm can effectively reduce the energy consumption by removing unnecessary wake-up operations without loss of the latency performance.


Author(s):  
Aya Hossam ◽  
Tarek Salem ◽  
Anar Abdel Hady ◽  
Sherine Abd El-Kader

Throughput, energy efficiency and average packet delivery delay are some of the most crucial metrics that should be considered in Wireless Sensor Networks (WSNs). This paper proposes a modified Medium Access Control (MAC) protocol for WSNs, called (MCA-MAC). MCA-MAC aims to improve the previous metrics and thus the overall performance of WSNs through using cooperative communication. It enables source nodes from using intermediate nodes as relays to send their data through them to the access point. MCA-MAC protocol is also acting as a cross layer protocol where the best end-to-end path between the source and destination is found through an efficient algorithm. Mathematical analysis demonstrates that MCA-MAC protocol can determine the optimal relay node that has the minimum transmission time for the given source-destination pair. Using Multi-Paradigm Programming Language (MATLAB) simulation environment, this paper estimates MCA-MAC protocol performance in terms of system throughput, energy efficiency and delay. The results show that MCA-MAC protocol outperforms the existing scheme called Throughput and Energy aware Cooperative MAC protocol (TEC-MAC) protocol under ideal and dynamic channel conditions. Under ideal conditions, MCA-MAC protocol achieved throughput, and energy efficiency improvements of 12%, and 50% respectively, more than TEC-MAC protocol. While the packet delay through using MCA-MAC has been decreased by about 48% less than TEC-MAC protocol.


Author(s):  
Natalija Vlajic ◽  
Dusan Stevanovic ◽  
George Spanogiannopoulos

The use of sink mobility in wireless sensor networks (WSN) is commonly recognized as one of the most effective means of load balancing, ultimately leading to fewer failed nodes and longer network lifetime. The aim of this chapter is to provide a comprehensive overview and evaluation of various WSN deployment strategies involving sink mobility as discussed in the literature to date. The evaluation of the surveyed techniques is based not only on the traditional performance metrics (energy consumption, network lifetime, packet delay); but, more importantly, on their practical feasibility in real-world WSN applications. The chapter also includes sample results of a detailed OPNET-based simulation study. The results outline a few key challenges associated with the use of mobile sinks in ZigBee sensor networks. By combining analytical and real-world perspective on a wide range of issues concerning sink mobility, the content of this book chapter is intended for both theoreticians and practitioners working in the field of wireless sensor networks.


Author(s):  
Shiu Kumar ◽  
Abel Avitesh Chandra ◽  
Bold Sanjaa ◽  
Kyeong Hur ◽  
Seong Ro Lee

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Vaibhav Soni ◽  
Dheeresh K. Mallick

In wireless sensor networks, geographic adaptive fidelity (GAF) is one of the most popular energy-aware routing protocols. It conserves energy by identifying equivalence between sensors from a routing perspective and then turning off unnecessary sensors, while maintaining the connectivity of the network. Nevertheless, the traditional GAF still cannot reach the optimum energy usage since it needs more number of hops to transmit data packets to the sink. As a result, it also leads to higher packet delay. In this paper, we propose a modified version of GAF to minimize hop count for data routing, called two-level GAF (T-GAF). Furthermore, we use a generalized version of GAF called Diagonal-GAF (DGAF) where two diagonal adjacent grids can also directly communicate. It has an advantage of less overhead of coordinator election based on the residual energy of sensors. Analysis and simulation results show significant improvements of the proposed work comparing to traditional GAF in the aspect of total hop count, energy consumption, total distance covered by the data packet before reaching the sink, and packet delay. As a result, compared to traditional GAF, it needs 40% to 47% less hop count and consumes 27% to 35% less energy to extend the network lifetime.


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