Abstract: The major problem for wireless sensor networks (WSN) is the limited energy supply so that we can save energy for future purpose. Most common techniques for prolonging the life time of the network is Routing algorithms etc. In this paper a multi-layer MAC (ML-MAC) concept is suggested for energy efficient Grid ML-MAC Wireless Sensor Network (WSN). In Grid Topology sensors are placed manually in an array configuration. Another topology we can place it in is hexagonal lattice.
- Experimental Lifetime Evaluation For Mac Download
- Evaluation For Mac
- Experimental Lifetime Evaluation For Mac Free
In order to estimate the lifetime of the product, accelerated life testing (ALT) is introduced because most of the products can last years even decades. Much research has been done in the ALT area and optimal design for ALT is a major topic. A specific medium access (MAC) protocol based on a TDD/TDMA scheme is proposed that establishes robust synchronization between the terminals. An experimental evaluation of the proposed MAC protocol is performed using a software-defined radio system consisting of a terminal for each node in the network. EXPERIMENTAL AND ANALYTICAL EVALUATION OF FRP-CONFINED LARGE SIZE REINFORCED CONCRETE COLUMNS by SILVIA ROCCA A DISSERTATION Presented to the Faculty of the Graduate School of the UNIVERSITY OF MISSOURI-ROLLA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY in CIVIL ENGINEERING 2007.
Experimental Lifetime Evaluation For Mac Download
The efficiency of the proposed multi-layer MAC is validated using QualNet 6.1. Additionally we also analyze the performance of various parameters like Residual Battery Capacity (mAhr), Average End-to-End Delay (sec.), Throughput (bits/sec.), and Jitter (s) is evaluated over IEEE 802.15.4 AODV (Ad-hoc on demand distance Vector Routing Protocol) by applying Grid Topology using ML-MAC concept. The simulation results demonstrate that our solution significantly improves the overall network lifetime.
Keywords: Grid topology, IEEE 802.15.4, ML-MAC, QualNet 6.1, Routing Protocol: AODV. Title:Network Lifetime Evaluation for Grid ML-MAC Protocol VOLUME: 3 ISSUE: 1 Author(s):Khurana Manju and M.K. Jha Affiliation:Faculty of Engineering & Technology, Mody Institute of Technology & Science Lakshmangarh (Rajasthan), 332311, India. Keywords:Grid topology, IEEE 802.15.4, ML-MAC, QualNet 6.1, Routing Protocol: AODV. Abstract:The major problem for wireless sensor networks (WSN) is the limited energy supply so that we can save energy for future purpose.
Most common techniques for prolonging the life time of the network is Routing algorithms etc. In this paper a multi-layer MAC (ML-MAC) concept is suggested for energy efficient Grid ML-MAC Wireless Sensor Network (WSN). In Grid Topology sensors are placed manually in an array configuration. Another topology we can place it in is hexagonal lattice. The efficiency of the proposed multi-layer MAC is validated using QualNet 6.1. Additionally we also analyze the performance of various parameters like Residual Battery Capacity (mAhr), Average End-to-End Delay (sec.), Throughput (bits/sec.), and Jitter (s) is evaluated over IEEE 802.15.4 AODV (Ad-hoc on demand distance Vector Routing Protocol) by applying Grid Topology using ML-MAC concept.
The simulation results demonstrate that our solution significantly improves the overall network lifetime.
Evaluation For Mac
. Part of the book series (LNCS, volume 6827) Abstract Wireless half-duplex relay communication between two nodes is considered. A two-way decode-and-forward relaying strategy that uses network coding at the relay should be able to increase the data throughput. A specific medium access (MAC) protocol based on a TDD/TDMA scheme is proposed that establishes robust synchronization between the terminals. An experimental evaluation of the proposed MAC protocol is performed using a software-defined radio system consisting of a terminal for each node in the network.
Experimental Lifetime Evaluation For Mac Free
It is shown that the proposed protocol realizes the promised throughput-gain of network coding for large burst-lengths. Moreover, the additional amount of processing time, memory and signalling required due to network coding is described.