Power Control DSR Routing in Tunnel Environment Monitoring

2012 ◽  
Vol 524-527 ◽  
pp. 815-818
Author(s):  
Deng Yuan Xu ◽  
Zhong Wei Hou
Keyword(s):  
Power Control ◽  
Routing Algorithm ◽  
Life Time ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Cross Layer Design ◽  
Transmission Power ◽  
Environment Monitoring ◽  
Time Data ◽  
Dynamic Source

As one of important technologies of IOT (Internet of Things), WSN (Wireless Sensor Networks) has been used in tunnel environmental monitoring. Tunnel environment monitoring has its particularity that WSN nodes show linear topologies. Traditional routing algorithms in WSN do not consider the linear topology of sensor nodes in tunnel and are difficult to realize long-time data transmission in limited battery power. In this paper, we propose Power Control Dynamic Source Routing algorithm (PC-DSR) by the thought of cross-layer design. Routing table is established according to the distance between nodes and the residual energy of nodes and optimum transmission power is calculated in order to save nodes’ power and prolong the life-time of the whole networks. Simulation results show that the novel algorithm can save node's transmission power, which increase the WSN lifetime of 12.3%.

scholarly journals The Improvement of LEACH Algorithm in Wireless Sensor Networks

2016 ◽  
Vol 12 (11) ◽  
pp. 46 ◽  
Author(s):  
Shujuan Dong ◽  
Cong Li
Keyword(s):  
Routing Algorithm ◽  
Critical Evaluation ◽  
Life Time ◽  
Correlated Data ◽  
Sensor Nodes ◽  
Time Simulation ◽  
Leach Protocol ◽  
Frame Work ◽  
Network Life Time ◽  
Almost All

This paper covers a novel routing algorithm called Multi-Group based LEACH (MG-LEACH) that has been utilized the redundant deployed sensor nodes to improve the network life time. It has been suppressing the correlated data gathered by the sensor nodes by monitoring the similar event. Thus reduces not only the data transmission inside the clusters but also conserve the energy of deployed sensor nodes consequently improve the overall network lifetime. This is a simple idea that has been implemented over LEACH protocol however it is valid for almost all clustering based routing algorithms/protocols specially those variants based upon frame work of LEACH. The proposed routing algorithm has been simulated using MATLAB to verify the efficiency in enhancing network life time. A critical evaluation of routing algorithm is conducted to determine the relevance and applicability in increasing network life time. Simulation results confirmed that it has performed better than LEACH and enhanced network life time up to approximately 90%.

scholarly journals Security of Data with Enhanced Technique of AASR Protocol for Secure Crosslayer Routing in MANET

2020 ◽  
Vol 6 (6) ◽  
pp. 17-21
Author(s):  
Shifana Begum ◽  
Megha M Gamskar ◽  
Prakrithi Mogasale
Keyword(s):  
Power Control ◽  
Routing Protocol ◽  
Physical Layer ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Transmission Power ◽  
Dos Attacks ◽  
Layered Architecture ◽  
And Performance ◽  
Reliable Path

MANET supports communication without any wired medium and with layered architecture. It does not uses any infrastructure support. Present alternative to the layered architecture is cross layer design approaches and the interaction between the layers is supported. The security of CLPC (Cross Layer Design Approach for Power control) routing protocol will be discussed in this paper. The transmission power and finding the effective route between source and destination can be improved by CLPC. The reliable path between the source and destination can be determined by RSS from the physical layer, but it is vulnerable to the DOS attacks. Here we propose a Secure cross layer power control protocol SCLPC to placate the attacks on CLPC. The SCLPC protocol provides better results and performance.

Dual Transmission Power and Ant Colony Optimization based Lifespan Maximization Protocol for Sensor Networks

2015 ◽  
Vol 11 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Rohini Sharma ◽  
D. K. Lobiyal
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Technique ◽  
Residual Energy ◽  
Base Station ◽  
Ant Colony ◽  
Sensor Nodes ◽  
Transmission Power ◽  
Route Length ◽  
Leach Protocol ◽  
Dual Transmission

A main characteristic of wireless sensor network (WSN) is its limited battery power. Non-uniform energy depletion in WSN, leads to formation of energy holes in certain areas of network. For a uniform consumption of energy among sensor nodes, some points should be considered like the residual energy of the nodes, energy consumed in the communication and route length. In this work, the authors has achieved the uniform consumption of energy by using dissimilar transmission power levels for communication between cluster heads and the sink node, and for intra- cluster communication. Further, they have used ant colony optimization technique for routing between the base station and sensors which are not the member of any cluster. They have proposed dual transmission power levels and ant colony optimization based (DTP-ACO) protocol to improve the lifespan of the network. Results demonstrate that DTP-ACO protocol outperforms LEACH protocol in provisions of the life span, residual energy, packets sent to the base station and throughput of the network.

scholarly journals Energy Efficient and Reliable Routing Algorithm for Wireless Sensors Networks

2020 ◽  
Vol 10 (5) ◽  
pp. 1885 ◽  
Author(s):  
Liangrui Tang ◽  
Zhilin Lu ◽  
Bing Fan
Keyword(s):  
Energy Efficient ◽  
Routing Algorithm ◽  
Evidence Theory ◽  
Fusion Rule ◽  
Residual Energy ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Entropy Weight ◽  
Reliable Routing ◽  
Index Value

In energy-constrained wireless sensor networks, low energy utilization and unbalanced energy distribution are seriously affecting the operation of the network. Therefore, efficient and reasonable routing algorithms are needed to achieve higher Quality of Service (QoS). For the Dempster–Shafer (DS) evidence theory, it can fuse multiple attributes of sensor nodes with reasonable theoretical deduction and has low demand for prior knowledge. Based on the above, we propose an energy efficient and reliable routing algorithm based on DS evidence theory (DS-EERA). First, DS-EERA establishes three attribute indexes as the evidence under considering the neighboring nodes’ residual energy, traffic, the closeness of its path to the shortest path, etc. Then we adopt the entropy weight method to objectively determine the weight of three indexes. After establishing the basic probability assignment (BPA) function, the fusion rule of DS evidence theory is applied to fuse the BPA function of each index value to select the next hop. Finally, each node in the network transmits data through this routing strategy. Theoretical analysis and simulation results show that DS-EERA is promising, which can effectively prolong the network lifetime. Meanwhile, it can also reach a lower packet loss rate and improve the reliability of data transmission.

Study on Improving the Network Life Time Maximazation for Wireless Sensor Network using Cross Layer Approach

2016 ◽  
Vol 6 (6) ◽  
pp. 3080 ◽  
Author(s):  
Rajiv R Bhandari ◽  
K Rajasekhar
Keyword(s):  
Energy Consumption ◽  
Scheduling Algorithm ◽  
Routing Algorithm ◽  
Life Time ◽  
Packet Transmission ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Main Task ◽  
Network Life Time

<p>In recent the espousal of Wireless Sensor Networks has been broadly augmented in numerous divisions. Battery operated Sensor nodes in the wireless network accomplish main task of capturing and responding to the surroundings. The lifetime of the network depends on the energy consumption of the sensor nodes. This paper contributes the survey on how the energy consumption should be managed for maximizing the life time of network and how to improve the efficiency of Network by using Cross layer architecture. The traditional MAC Layer, Network Layer &amp; Transport for WLAN having their own downsides just by modifying those we can achieve the network life time maximization goal. This paper represents analytical study for Energy efficiency by modifying Scheduling algorithm, by modifying traditional AODV routing algorithm for efficient packet transmission and by effectively using TCP for End to End Delivery of Data.</p>

An Energy Aware Routing Algorithm for WSNs Based on Semi-Static Clustering

2015 ◽  
Vol 752-753 ◽  
pp. 1413-1418
Author(s):  
Tao Du ◽  
Qing Bei Guo ◽  
Kun Zhang ◽  
Kai Wang
Keyword(s):  
Energy Efficiency ◽  
Large Scale ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Routing Algorithms ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Hierarchical Routing ◽  
Static Clustering

Energy efficiency is a key factor to improve WSNs’ performance, and hierarchical routing algorithms are fitter in large scale networks and have more reliability, so they are mostly used to improve the nodes’ energy efficiency now. In this paper, mainly existing hierarchical routing algorithms are introduced, and based on these researches, a new energy efficient hierarchical routing algorithm designed based on energy aware semi-static clustering method is proposed. In this algorithm named EASCA, the nodes’ residual energy and cost of communication would both be considered when clustering. And a special packet head is defined to update nodes’ energy information when transmitting message; to rotate cluster head automatically, a member management scheme is designed to complete this function; and a re-cluster mechanism is used to dynamic adjust the clusters to make sensor nodes organization more reasonable. At last, EASCA is compared with other typical hierarchical routing algorithms in a series of experiments, and the experiments’ result proves that EASCA has obviously improved WSNs’ energy efficiency.

scholarly journals Transmission Power Control with the Guaranteed Communication Reliability in WSN

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Dae-Young Kim ◽  
Zilong Jin ◽  
Jungwook Choi ◽  
Ben Lee ◽  
Jinsung Cho
Keyword(s):  
Wireless Sensor Network ◽  
Power Control ◽  
Sensor Network ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Efficient Data ◽  
Communication Reliability

In a wireless sensor network, sensor nodes are deployed in an ad hoc fashion and they deliver data packets using multihop transmission. However, transmission failures occur frequently in the multihop transmission over wireless media. Thus, a loss recovery mechanism is required to provide end-to-end reliability. In addition, because the sensor nodes are very small devices and have insufficient resources, energy-efficient data transmission is crucial for prolonging the lifetime of a wireless sensor network. This paper proposes a transmission power control mechanism for reliable data transmission, which satisfies communication reliability through recovery of lost packets. The proposed method calculates packet reception rate (PRR) of each hop to maintain end-to-end packet delivery rate (PDR), which is determined based on the desired communication reliability. Then, the transmission power is adjusted based on the PRR to reduce energy consumption. The proposed method was evaluated through extensive simulations, and the results show that it leads to more energy-efficient data transmission compared to existing methods.

scholarly journals A Twofold Sink Based Data Collection for Continuous Object Tracking in Wireless Sensor Network

2017 ◽  
Author(s):  
Sajjad Hussain Chauhdary ◽  
Ali Hassan ◽  
Mohammed A Alqarni ◽  
Abdullah Alamri
Keyword(s):  
Object Tracking ◽  
Forest Fires ◽  
Life Time ◽  
Mobile Sink ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Sink Node ◽  
Network Nodes ◽  
Continuous Objects ◽  
Continuous Object

Continuous object tracking in WSNs, such as monitoring of mud-rock flows, forest fires etc., is a challenging task due to characteristic nature of continuous objects. They can appear randomly in the network field, move continuously, and can change in size and shape. Monitoring such objects in real-time generally require tremendous amount of messaging between sensor nodes to synergistically estimate object&rsquo;s movement and track its location. In this paper, we propose a novel twofold-sink mechanism, comprising of a mobile and a static sink node. Both sink nodes gather information about boundary sensor nodes, which is then used to uniformly distribute energy consumption across all network nodes, thus helping in saving residual energy of network nodes. Numerous object tracking schemes, using mobile sink, have been proposed in the literature. However, existing schemes employing mobile sink cannot be applied to track continuous objects, because of momentous variation of network topology. Therefore, we present in this paper a mechanism, transformed from K-means algorithm, to find the best sensing location of the mobile sink node. It helps to reduce transmission load on the intermediate network nodes situated between static sink node and the ordinary network sensing nodes. The simulation results show that the proposed scheme can distinctly improve life time of the network, compared to one-sink protocol employed in continuous object tracking.

A Transmission Power Control Mechanism for 802.15.4+RPL-Operated Wireless Sensor Network

2020 ◽  
Vol 10 (2) ◽  
pp. 197-206
Author(s):  
Ali Qolami ◽  
Mohammad Nassiri ◽  
Hatam Abdoli
Keyword(s):  
Power Control ◽  
Network Lifetime ◽  
Control Method ◽  
Power Level ◽  
Link Quality ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Control Mechanisms ◽  
Transmission Power ◽  
Transmission Power Control

Background and Objective: Wireless Sensor Networks (WSNs) are typically formed by one or more sink nodes and a large number of sensor nodes that are able to sense, process and transmit data. Topology control mechanisms can be utilized to guarantee requirements such as connectivity, coverage, delay and network lifetime in WSNs. One effective way to control the topology is adjusting transmission power level in each node according to the link quality conditions. The goal of Transmission Power Control (TPC) is to set the transmission range of each node by adjusting its transmission power level. Methods: In this paper, we investigate TPC in 802.15.4+RPL WSNs. In our proposed mechanism, each node dynamically adjusts its transmission power based on channel conditions before sending every data and ACK packet. Result and Conclusion: The results of extensive simulations confirm that our power control method improves network performance, especially in terms of network lifetime, which is an essential issue in WSNs.

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