scholarly journals Power minimization of WBSN using adaptive routing protocoL

Author(s):  
Ammar Sabeeh Hmoud Altamimi ◽  
Omar Raad K. Al-Dulaimi ◽  
Amar A. Mahawish ◽  
M. M. Hashim ◽  
Mustafa S. T.

<span>The present work was an attempt to address a challenge of energy utilization or consumption in WBSN, it used a proposed routing algorithm based on ant optimization technique to distribute energy utilization efficiently on nodes. Thus reducing consumed energy and extending the life cycle of nodes, as well as avoiding damages might be occurred in tissues of patient`s body. At the beginning the proposed protocol was compared with conventional routing protocol LEACH to prove it`s efficiency in the extending of the life cycle of node, then it was used with experimental network was employed to examine energy utilizations. The obtained results were compared with others attained by conventional and developed routing protocols, there was considerable minimizing in the energy consumption that proved efficiency of proposed algorithm.</span>

Author(s):  
Edy Victor Haryanto ◽  

In an underwater wireless sensor network (UWSN), research challenges occur in the availability of new connectivity protocols, sensors, and utilization of energy. One of the issues is to enhance the lifespan of the network without increasing the supply, cost, and level of resources. This paper proposes a conceptual routing protocol for UWSN, known as Energy-Efficient Multipath Adaptive Routing (E2MAR) protocols, which is primarily intended for long-term control with greater energy efficiency and transmission rate. Key development conditions were set by the E2MR and forward nodes are chosen based on the performance index. Different tests are carried out by evaluating E2MR in terms of the number of live nodes, end-to-end latency, packet delivery rate, and maximum energy usage efficiently compared to some other Routing protocols. The lifespan of the network has also been greatly enhanced.


Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3642 ◽  
Author(s):  
Genta ◽  
K.Lobiyal ◽  
Abawajy

Wireless multimedia sensor networks (WMSNs) are capable of collecting multimedia events, such as traffic accidents and wildlife tracking, as well as scalar data. As a result, WMSNs are receiving a great deal of attention both from industry and academic communities. However, multimedia applications tend to generate high volume network traffic, which results in very high energy consumption. As energy is a prime resource in WMSN, an efficient routing algorithm that effectively deals with the dynamic topology of WMSN but also prolongs the lifetime of WMSN is required. To this end, we propose a routing algorithm that combines dynamic cluster formation, cluster head selection, and multipath routing formation for data communication to reduce energy consumption as well as routing overheads. The proposed algorithm uses a genetic algorithm (GA)-based meta-heuristic optimization to dynamically select the best path based on the cost function with the minimum distance and the least energy dissipation. We carried out an extensive performance analysis of the proposed algorithm and compared it with three other routing protocols. The results of the performance analysis showed that the proposed algorithm outperformed the three other routing protocols.


2013 ◽  
Vol 834-836 ◽  
pp. 1087-1090
Author(s):  
Ping Zong ◽  
Jun Qin

With the expansion of the network, especially in the case of the nodes frequently moving, clustering routing protocol can reduce the impact of the changed topology on routing protocols, and improve the network scalability and reduce routing overhead. Based on the analysis of the problems of CBRP clustering routing protocol, this paper presents a CRBAC clustering routing algorithm based on ant colony algorithm. The simulation results show that, in the circumstance that the algorithm doesnt significantly increase the routing overhead, improved clustering routing protocol CRBAC get better performance than CBRP. They reflect on the clusters structure more reasonable and stable, the average end-to-end delay and network lifetime significantly improved.


2018 ◽  
Vol 5 (1) ◽  
pp. 54-57
Author(s):  
Wahyudi Khusnandar ◽  
Fransiscus Ati Halim ◽  
Felix Lokananta

XY adaptive routing protocol is a routing protocol used on UTAR NoC communication architecture. This routing algorithm adapts shrotest-path first algorithm, which will forward will not be able to work optimally if the closest route no longer have enough bandwidth to continue the packet. Packet will be stored inside the router and forwarded to the nearest router when closest route has enough bandwidth. This paper suggest TTL based routing algorithm to resolve this issue. TTL based routing algorithm adapts XY adaptive routing protocol by adding several parameters on RTL UTAR NoC and additional bit in each packet sent by router. This additional bit and parameter will be used by TTL based algorithm as additional factors in choosing alternative routes inside the communication architecture. Use of TTL on TTL based routing different from use of TTL on communication network. Packets that carry TTL value that equal to Maximum TTL will be route using XY adaptive routing protocol. TTL based routing algorithm has shown better performance compared to XY adaptive routing on some of the experiment done using MSCL NoC Traffic Pattern Suite. This research also proves that TTL based routing algorithm cannot work optimally on small-scaled architecture.


2021 ◽  
Vol 10 (4) ◽  
pp. 1-16
Author(s):  
Vinay Rishiwal ◽  
Preeti Yadav ◽  
Omkar Singh ◽  
B. G. Prasad

In recent era of IoT, energy ingesting by sensor nodes in Wireless Sensor Networks (WSN) is one of the key challenges. It is decisive to diminish energy ingesting due to restricted battery lifespan of sensor nodes, Objective of this research is to develop efficient routing protocol/algorithm in IoT based scenario to enhance network performance with QoS parameters. Therefore, keeping this objective in mind, a QoS based Optimized Energy Clustering Routing (QOECR) protocol for IoT based WSN is proposed and evaluated. QOECR discovers optimal path for sink node and provides better selection for sub-sink nodes. Simulation has been done in MATLAB to assess the performance of QOECR with pre-existing routing protocols. Simulation outcomes represent that QOECR reduces E2E delay 30%-35%, enhances throughput 25%-30%, minimizes energy consumption 35%-40%, minimizes packet loss 28%-32%, improves PDR and prolongs network lifetime 32%-38% than CBCCP, HCSM and ZEAL routing protocols.


2019 ◽  
Vol 8 (3) ◽  
pp. 6554-6562

Wireless Ad hoc Network is established by a collection of mobile nodes without any fixed infrastructure, where each node plays a role of the router. There are not any centralize control to handle the routing process of network, due to the dynamic tropology and infrastructure less network the network is vulnerable to various kinds of attacks. Therefore, numerous proactive, reactive and hybrid routing protocols have been recommended, among which one of the well-known a protocol is AODV due to its high-performance gain. This research work contributes towards mitigating network layer attacks on routing protocols in Wireless Ad hoc Networks. Problem and it's security issues because its consequences and existing mechanisms for detection and prevention with the context of AODV protocol is a challenge in Wireless Ad hoc Network, particularly in MANET and Sensor network. We present an AODV based secure routing algorithm for detection and prevention of different network layer attacks such as blackhole and rushing attacks. We use different types of security parameters like node sequence numbers, hop count, trust value, path value, acknowledge time, the threshold value and ALERT packet message to design a secure algorithm for AODV routing protocol. It shows enactment evaluation of AODV with the enhanced secure routing algorithm and existing routing algorithm through simulations which will confirm the effectiveness and accuracy of the algorithm by considering performance metrics like throughput, packet delivery ratio and end to end delay. Using network simulator NS-2.35 the experimental results have been shown an improvement in throughput, packet delivery ratio (PDR), and end to end delay using IDSAODV and results are compared with normal AODV routing protocol for blackhole and rushing attacks. The comparative results have been also shown with proposed IDSAODV and existing method


Author(s):  
Funom Samuel Dadah ◽  
Ajayi Ore-Ofe ◽  
Aliyu D Usman ◽  
Y A Mshelia ◽  
M O Babatunde

Owing to the limited energy of sensor nodes (SNs) in a wireless sensor network (WSN), it is important to reduce and balance the energy consumption of the SNs in order to extend the WSN lifetime. Clustering mechanism is a highly efficient and effective mechanism for minimizing the amount of energy that SNs consume during the transmission of data packets. In this paper, an election energy threshold based multi-hop routing protocol (mEEMRP) is presented. In order to minimize energy consumption, this routing protocol uses grid clustering, where the network field is divided into grid clusters. SNs in each grid cluster select a cluster head (CH) based on a weight factor that takes the node location, node’s residual energy (RE) as well as the node’s distance from the base station into consideration. An energy efficient multi-hop routing algorithm is adopted during the transmission of data packets from the cluster heads (CHs) to the base station (BS). This multi-hop routing algorithm uses an election energy threshold value, T­nhCH that takes into consideration the RE of CHs as well as the distance between CHs. Simulation results show a 1.77% and 10.65% improvement in terms of network lifetime for two network field scenarios over Energy Efficient Multi-hop Routing Protocol (EEMRP).


Author(s):  
Salma S. Mohamed ◽  
Abdel-Fatah I. Abdel-Fatah ◽  
Mohamed A. Mohamed

Routing selection and supporting Quality of Service (QoS) are fundamental problems in Mobile Ad Hoc Network (MANET). Many different protocols have been proposed in the literature and some performance simulations are made to address this challenging task. This paper discusses the performance evaluation and comparison of two typical routing protocols; Ad Hoc On-Demand Distance Vector (AODV) and Destination-Sequenced Distance-Vector (DSDV) based on measuring the power consumption in network with varing of the QoS parameters. In this paper, we have studied and analyzed the impact of variations in QoS parameter combined with the choice of routing protocol, on network performance. The network performance is measured in terms of average throughput, packet delivery ratio (PDR), average jitter and energy consumption. The simulations are carried out in NS-3. The simulation results show that DSDV and AODV routing protocols are less energy efficient. The main aim of this paper is to highlight the directions for the future design of routing protocol which would be better than the existing ones in terms of energy utilization and delivery ratio.


Today’s era is of smart technology, Computing intelligence and simulations. Many areas are now fully depended on simulation results for implementing real time workflow. Worldwide researchers and many automobile consortium are working to make intelligent Vehicular Ad hoc Network but till yet it is just a theory-based permutation. If we take VANET routing procedures then it is mainly focussing on AODV, DSDV and DSR routing protocols. Similarly, one more area of Swarm Intelligence is also attained attention of industry and researchers. Due the behavior of dynamic movement of vehicle and ants, Ant Colony Optimization is best suited for VANET performance simulations. Much of the work has already done and in progress for routing protocols in VANET but not focused on platooning techniques of vehicle nodes in VANET. In our research idea, we came up with a hypothesis that proposes efficient routing algorithm that made platooning in VANET optimized by minimizing the average delay waiting and stoppage time. In our methodology, we have used OMNET++, SUMO, Veins and Traci for testing of our hypothesis. Parameters that we took into consideration are end-to-end delay as an average, packet data delivery ratio, throughput, data packet size, number of vehicle nodes etc. Swarm Intelligence has proved a way forward in VANET scenarios and simulation for more accurate results. In this paper, we implemented Ant Colony Optimization technique in VANET simulation and proved through results that if it integrates with VANET routing scenarios then result will be at its best.


In recent time, with the fast development of the mobile system, Mobile Ad-hoc Networks (MANETs) have been fucus studied and applied in many areas such as rescue, military, medical applications and smart cities. Due to the characteristics of MANETs, routing protocols must be designed to be flexible, energy-efficient and highly performance achievable. Increasing network lifetime by reducing energy consumption level is a major method in the design of saving energy routing protocols in MANETs. In this study, we propose an improved routing protocol from AODV with a new cost function, applied to MANETs. The simulation results show, our proposed protocol saves energy consumption, increases network life, packet delivery rates, and improves performance over AODV


Sign in / Sign up

Export Citation Format

Share Document