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1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 |Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 70 Power control in mobile ad hoc network using NS2 simulator 1Harsha Tembekar, 2Yogeshkumar Meshram, Dhananjay Ghate, Nitesh Rao ,Shraddha Ingole, Yashika badkal. 1Assistant professor, Department of Electronics & communication Engineering, DBACER, Nagpur, Maharashtra, India. 2Students,Department of Electronics & Communication Engineering, DBACER, Nagpur, Maharashtra, India. ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In mobile ad hoc networks, communication among mobile nodes happens through wireless medium the planning of ad hoc network protocol, typically supported a standard ‘‘layered approach’’, has been found ineffective to deal with receiving signal strength (RSS)- related issues, affecting the physical layer, the network layer and transport layer. This paper proposes a style approach, deviating from the normal network style, toward enhancing the cross layer interaction. Among completely different layers specifically physical, mac andnetwork. The Cross Layer style approach for Power manage (CLPC). Would facilitate to boost the transmission power by averaging the RSS values and to search out a good route between the supply and therefore the destination. This cross-layer style approach was tested by simulation (NS2 simulator) and its performance over AODV was found to be higher. 1. INTRODUCTION A mobile ad hoc network could be a collection of wireless nodes that can transfer information while not the utilization of network infrastructure or administration.Such networks have several potential applications, as well as in disaster mitigation, defense, health care, domain and business. In such a network , every node acts each as a number and a router. a significant limitation with mobile nodes is that they need high mobility, inflicting links to be frequently broke and reestablished Moreover, the bandwidth of a wireless channel is additionally limited, and nodes operate restricted batter power ,which will eventually be exhausted. Therefore, the planning of a mobile ad hoc network is extremely difficult, however this technology has high prospects to be able to manage communication protocols of the future .A wireless ad hoc network works on the principle of one hop neighbor node broadcasting, duringwhich atransmissionsignalfrom the source node propagates to all neighbor nodes within its communication region Transmission power related problems are a unit a common feature touching the functioning of wireless ad hoc networks. theinability totakecareof a steady transmission power, thus, degrades the transmission range and signal strength, and therefore the reliability of wireless ad hoc networks is controversial .At the transport layer, the node interference affects the level of transmission power and causes network congestion. In such networks,TCP-supportedcongestion manage hasbeen unreliable the standard transport protocols like UDP are a unit unreliable, since no mechanism of congestion detection has been provided. Even supported control is unreliable.Transmissionpower- related issues will haveaneffecton allthelayersofthe stack,fromphysical tomove,and include thefollowing: (i) long delay, (ii) packet losses and (iii) low output. Previously, the look of ad hoc network protocol has beenlargely supported the‘‘layeredapproach’’.In layere d architecture,the designer or implementers of the protocol or algorithmic rule focuses on a selected layer, while not being needed to contem plate the parameters of the remainder of the stack . However, this has usually resulted in suboptimalperformanceof applications. To overcome this, the ‘‘cross-layer’ ’approach has been found to deal with transmission power related problems in wireless ad hoc networks. Thecrosslayer style deviatesfrom thenormal network design approach during which every layerofthestack would be created to work severally .A work group of the Internet Engineering Task Force has been learning inter-layer interactionsandperformancesinmobile ad hoc networks. The inter-layer interactionmetrics and also the advantages of information exchange among the lower layers, network layer and transport layer were additionally reported. In this paper, a brand new cross layer optimization frame workisproposed that gathers info a few node’s receiver signal strength (RSS) by using hello packet. Employing a dynamic transmission power manage mechanism, each node computes minimum RSS, average RSS and most RSS. This info can facilitate every node to understand its neighbor positions and guide it to dynamically manage its power levels. As a
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 |Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 71 result, optimum transmission power and reliable communication range will be achieved. 1. Cross-layer design frame work The proposed cross-layer optimization framework permit modification of transmission power to be made at physical layer after knowing a node’s one-hop neighbor’s RSS data. The modified transmission power can facilate that node to dynamically vary its propagation range at the physical layer. This is because the propagation distance is usually directionally proportional to transmission power. This information is passed from the physical layer to the network layers that it can take optimum choices in routing protocols .A major advantage of this framework is that it allows access of information betweenphysicallayerandhigh layers(MAC and network layer). 1.1. Dynamic transmission power control Much of labor on power management protocols for mobile ad hoc networks is however to mirror within the literature. while not an efficient transmission power management mechanism in place, packet transmissions may be littered with link instability,weak ofreceivingsignal strength (RSS) and, network interference. As noted on top of, the standard of RSS forever depends on a broadcasting node’s transmission power. it's best-known that the broadcasting signal from one node travels omni directionally to its1-hopneighbors.Thispaperassumes that every one nodes have the same propagation vary, which is able to be altered counting on the 1-hop neighbors’ coverage. The node’s receiving signal strength has taken from mac layer. This info helps to determine whether or not or not a current node is placed either in high or low signal strength space. once computing the RSS, the node broadcasts this information to its 1-hop neighbors by hello packets. 1.2 Primary route discovery The main objective of routing protocols in ad hoc networks is to search out the shortest path between the sourceand so the destination. A majority of routing protocols are able to choose the shortest path however not a reliablepath, asa result of these routing protocols don't take into account neighbor’s RSS price. to beat thislimitation, similarly on cut back extra RREQ packets and save network resources (link, buffer, battery), during this cross- layer improvement framework, each node applies a dynamic transmission power management mechanism and identifies 3 communication regions (minimum communication region, average communication region and most communication region).All nodes within the network alter their transmission power supported a most communication region. Once a supply node broadcasts a RREQ packet to its most communication region neighbors, the neighbors shall decide whether or not or to not rebroadcast the RREQ packet . just in case the RREQ packet has come from a weaker node (node’s RSS price = A min RSS), the receiving neighbors should drop the RREQ and avoid to retransmit it. On the opposite hand, if RREQ packet have come from reliable nodes (node’s RSS value > A min_RSS) ,these are retransmitted to the destination node, which in flip generates the RREP packet and sends to the source node. Finally, the source node has known a reliable link to the destination, which currently becomes a primary route. 3.3. Route rediscovery All nodes within the primary path sequentially calculate their RSS values by employing a dynamic transmission power management rule. If a node’s RSS worth is adequate to A Min_ RSS, then there is a risk associate intermediate node move out of a most communication region, because of that a link breakage will occur. In such an occasion, the node preceding that intermediate node initiates a routediscovery mechanism to change a route to the destination Algorithm for route rediscovery begin 1 Create the nodes and fix there ranges. 2 Select the anyone of the node as an source and start routing process 3 Search for minimum rss node near to the source node 4 If yes then packets are to min rss node 5 If no then send packets to the average strength node 6 Check packets are expired or not if yes then reapet the the procedure 7 If no then send towads destination Stop
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 |Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 72 Fig:- routing rediscovery algorithm 2. Performance analysis We thought about the subsequent necessary metrics for the analysis by simulation:Packet delivery ratio (PDR): The ratio between the amount of packets received by the destination and therefore the range of packets sent by the supply. End-to-end delay: The end-to-end delay is calculated by obtaining time delay o a packet between the transceiver. Routing overhead: the whole number of management packets transmitted throughout simulation. For packets sentover multiplehops, every transmissionover one hop is counted joined transmission. Table -1: network simulator 2 configuration Network parameter range speed 10–35 m/s packet rate 4 Packets/s load 20% network size Max propagation range 250 m Receiver sensitivity (Min RSS) -90 dBm (Milli watts in decibel) Mac protocol IEEE 802.11 Packet size 512 bytes Transport layer protocol UDP Application CBR (constant bit rate) Create the ad hoc network in ns2 simulator With minimum 30-40 nodes Fix the ranges of all the node present In an ad hoc network. Set the source node and start route request process. Min. Rss node present or not ? YES Send RREQ packets to the min rss node NO Find average strength node and send RREQ packet to it. Check RREQ TTL expiered or not ? STOP START Send packets to the Destination node NO YES
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 |Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 73 image -1: End to end delay analysis. Image -2: Routing overhead analysis . 3. CONCLUSIONS The Link breakage cancauseseriousimpairmentinnetwork performance because the price of recent route finding is extremely high. In traditional route finding ways, thesource node (or intermediate node) floods the complete network with RREQ packets to get the new route to destination. Whereas, within the planned model (CLPC), a dynamic transmission power management algorithm predicts a link breakage if probably to happen and discovers a new route to be updated within the routing table. Firstly, each node gathers its neighbors’ RSS and constructs 3 transmission (maximum, average, minimum) ranges. Secondly, each node alters its transmission power primarily based on most transmission range. Since the path finding process relies on neighbor’s RSS value and transmission vary, the approach REFERENCES [1] Srivastava V,Motani M. Cross layer design: a survey and the road ahead. IEEE Commun Mag 2005;43 (12):112–9. [2] Park Seungjin, Yoo Seong-Moo. An efficient reliable one-hop broadcast in mobile ad hoc networks. AdHoc Netw2013;11(1):19–28. [3] Goldsmith J, Wicker SB. Design challenges for energy constrained ad-hoc wireless networks. IEEE Wireless Commun 2002;9:8–27. [4] Kawadia V, Kumar PR. Principles and protocols for power control in wireless ad-hoc networks. IEEE J Selected Areas Commun, Part I 2005;23(1):78–88. [5] Lochert Christian, Scheuermann Bjo¨ rn, Mauve Martin. A survey on congestion control for mobile ad-hoc networks. Wireless Commun Mob Comput 2007;7(5):655– 76. [6] Senthilkumaran T, Sankaranarayanan V. Dynamic congestion detection and control routing in ad hoc networks. J King Saud Univ – Comput Inform Sci 2013;25(1):65–175. [7] Senthilkumaran T, Sankaranarayanan V. Early congestion detection and adaptive routing in MANET. Egypt Inform J 2011;12(3):165–75. [8] Senthilkumaran T, Sankaranarayanan V. Early detection congestion and control routing in MANET. In: Proceedings of the seventh IEEE and IFIP international conference on wireless and optical communications networks (WOCN 2010). p. 1–5.
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