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International Journal of Computer Networking,
Wireless and Mobile Communications (IJCNWMC)
ISSN(P): 2250-1568; ISSN(E): 2278-9448
Vol. 5, Issue 1, Jan 2016, 1-4
© TJPRC Pvt. Ltd.
1 WWW.IJCNWMC.COM
A SURVEY-EFFICIENT AND STABLE ROUTE SELECTION BY
USING CROSS LAYER CONCEPT
Rupali Singh, Gajendra Singh Dhakad
Rupalis327@gmail.com , gajendranitm@gmail.com
Dept. of CSE, NITM (M.P)
ABSTRACT: - In a MANET, one of the
critical issues is link failure due to mobility
of nodes in the network, for reducing link
failure, protocol must find a suitable path in
the network for efficient communication.
This method use concept of cross layer like
signal strength of the physical layer. The
proposed novel cross layer design concept
that could improve the network throughput
significantly for mobile ad hoc networks. In
this technique we have calculated signal
strength and mobility for choosing the
strongest efficient and stable path for data
transmission. This novel algorithm tries to
improve the problems held in AODV
protocol by calculating signal strength and
mobility of next node for data transmission,
if either signal strength or mobility have
varies due to some internal problem than
other will provide the backup and choose the
convenient and efficient path and it will
reduces the problem of link faiure.
INTRODUCTION:- There are basically two
techniques for data transmission i.e.
transmission through wired network and
wireless network. An ad hoc network consists
of mobile nodes which communicate with each
other through multi-hop routes. To date,
numerous routing protocols [10] have been
proposed. Many of them well address the
problem of establishing and maintaining the
routes in a dynamically changing network
topology. However, most routing protocols are
designed with less emphasis on the issues at
the lower layers. These include the variable
link capacity at the physical layer and the
fluctuating contention level at the MAC layer.
In this paper, we attempt to bridge this gap by
introducing a cross layer design concept. By
exploiting the lower layer channel
information, such as the variable link capacity
through spectrally efficient rate adaptation and
contention level estimation at the MAC layer,
we will show that significant performance
enhancement in both the network throughput
and delay are achievable. Thus, we take an
”active” approach in designing an ad hoc
networking protocol with more realistic and
detailed wireless channel model. It is
worthwhile to mention that in this paper we are
taking a channel-adaptive approach– rather
than a quality-of-service driven approach–of
cross layer networking such that the channel-
adaptive information is flowing from the lower
layer to the higher one, with the objective of
maximizing the network throughput; the
resource allocation message and decisions
made at the higher layer with a more global
view of the network are flowing downward.
Adaptive modulation transmission techniques
[3] were first proposed for cellular mobile
systems as a means to increase the spectral
efficiency in a point to point link. When the
channel estimate is available at the transmitter,
a transmission scheme can be adaptively
selected in accordance with the learned
channel parameters. It is shown in [3] that
spectral efficiency is optimized by joint rate
and power adaptation when the channel side
information is used at the transmitter. Practical
rate and power adaptation modulation
techniques [2] have also been investigated and
International Journal of Computer Networking,
Wireless and Mobile Communications (IJCNWMC)
ISSN(P): 2250-1568; ISSN(E): 2278-9448
Vol. 5, Issue 1, Jan 2016, 1-4
© TJPRC Pvt. Ltd.
2 WWW.IJCNWMC.COM
shown to achieve near optimal spectral
efficiency. Rate adaptation techniques has also
been applied to mobile ad hoc networks. The
request to send (RTS) packet and the clear to
send (CTS) packet defined in the IEEE 802.11
standard could be exploited to perform channel
estimation and to feed receiver’s estimate of
the channel back to the transmitter. In [9], a
rate adaptation mechanism is introduced for
frequency hopping systems. Transmission rate
is adjusted based on the number of erasures
and errors in the received packets. In [5], a rate
adaptive MAC algorithm, similar to ours but
developed independently, is proposed.
Explicit channel parameter estimation is
mandatory in most advanced transceiver
systems for robust and spectrum efficient
performance [8]. With a simple cross layer
communications between the MAC and
Physical layers, we could achieve a large
performance improvement without incurring
any significant overhead. Wireless
technologies have become popular. Since
portable devices like mobile phones,
computers, laptop and personal digital
assistance require fixed infrastructure such as
base stations or access point, so they need an
access to a static network to support their
mobile device services. To provide a solution
to this problem Mobile Ad hoc Networks
(MANETs) have evolved.
MANETs are autonomous systems
consisting of mobile hosts that are connected
by multi-hop wireless links. MANETs are
decentralized networks that develop through
self-organization. MANETs is formed by a
group of nodes that can transmit, receive and
relay data among themselves. In a mobile ad
hoc network there is no fixed infrastructure
therefore the mobile hosts communicate over
multihop wireless links. These are often called
infrastructure-less networking since the
mobile nodes in the network dynamically
establish routing paths between them.
In MANETs the nodes communicate
over a reliable wireless links within the
transmission range of each other. In large
MANETs, if two hosts are not within the
communication range of each other they
communicate if other hosts lying in between
are willing to forward packets for them.
Therefore, every node participates in multi-
hop routing to reach all nodes in the network.
Flooding is a cause of routing in MANETs
which leads to degradation of the efficient use
of bandwidth and depletes battery-power of
nodes [4, 5].
It searches for route when required by source
node i.e. on demand. It possesses the
characteristic of maintaining the routes in the
case of dynamic network where each node is
moving. It incurs low processing and memory
overhead which in turn minimizes the overall
network utilization makes it appropriate for the
MANET. Furthermore, this protocol makes
use of sequence number for loop freedom
mechanism in each route. The steps to send a
packet from sender to destination through
AODV are as follows: Firstly, the source node
starts route discovery through broadcasting
Route Request (RREQ) packet then adjacent
nodes will forward RREQ until the packet is
reached at the destination or RREQ arrives at
the node that has a new fresh route to the
destination. Secondly, a Route Reply (RREP)
is sent by receiver to the source (originated
route). Once the sender-node receives a RREP,
it can initialize using this path for data packet
transmission. In the case of link failure, Route
Error (RERR) is sent back to the source node.
It is generated by the node at which link failure
is occurred.
RELATED WORK
In Holmer [1] the authors proposed a new
network metric the medium Time Metric
(MTM), which is derived from a general
theoretical model of the reachable throughput
in multi-rate ad hoc wireless networks. The
International Journal of Computer Networking,
Wireless and Mobile Communications (IJCNWMC)
ISSN(P): 2250-1568; ISSN(E): 2278-9448
Vol. 5, Issue 1, Jan 2016, 1-4
© TJPRC Pvt. Ltd.
3 WWW.IJCNWMC.COM
MTM avoids using the long range link favored
by shortest path routing in favor of shorter,
higher throughput, more reliable links.
In Gomez [8] the authors propose a new
power-aware routing technique for wireless ad
hoc networks (PARO) where all nodes are
located within the maximum transmission
range of each other. PARO uses a packet
forwarding technique where immediate nodes
can elect to be redirector on behalf of source
destination pairs with the goal of reducing the
overall transmission power needed to deliver
packet in the network, thus, increasing the
operational lifetime of network devices.
In De Couto [4] the authors show that the
minimum hop path generally contains Cross-
Layer Simulation and Optimization for Mobile
ad hoc Networks 15 links which exhibit low
reliability.
In Dube [5] and Nordstrom [10] the authors
present routing protocols which are based on
signal stability rather than on only a shortest
path in order to provide increased path
reliability. Based on the IEEE 802.11 protocol,
The Receiver Based Auto Rate
(RBAR) protocol was presented in Vaidya [9].
RBAR allows the receiving node to select the
rate. This is accomplished by using the SNR or
the RTS packet to choose the most appropriate
rate and to communicate that rate to the sender
using the CTS packets. This allows much
faster adaptation to the changing channel
conditions than ARF, but requires some
modifications to the 802.11 standard.
The Opportunistic Auto Rate (OAR) protocol
which is presented in Sabharwal [3], operates
using the same receiver based approach, but
allows high-rate multipacket burst to take
advantage of the coherence time of good
channel conditions. The bursts also
dramatically reduce the overhead at high rates
by smoothing the cost of contention period and
RTS CTS frames over several packets.
PROPOSED PLAN:- In Route discovery
phase each node calculate signal strength of
neighbor and also calculate mobility if
mobility is greater than threshold it will
Receive the RREQ from neighbor node on
the basis of signal strength otherwise it select
on the basis of traditional AODV parameter
(min hop count with default transmission
range for packet receiving, this procedure is
followed up to destination node, at
destination, node reply all RREQ which is
received by destination and send it to sender
node. After that sender sends data through
this route which have minimum hop count,
with the help of this method we can select
most stable path among all route.
This method also enhanced the maintainance
phase, in this phase every node monitor’s
own energy if it is less than threshold then
node send the alert message to sender node
for searching new path before link failure ,
This approach will reduce the link
failure and also select best stable path for
communication which will enhance the
performance of AODV protocol.
CONCLUSION:- In this paper, we discuss a
new design concept in routing protocols for
mobile ad hoc networks. We argue that by
exploiting information from the cross layer
and the physical layer, significant performance
enhancement of a routing protocol could be
achieved. In this work, calculation of signal
strength and mobility takes place
simultaneously so that if any properties can
vary with some internal harms than the other
properties takes as priority calculated value
and then its follow our routing path. thus it
reduces the problem of link failure
REFERENCES
[1] D. Holmer B. Awerbuch and H. Rubens.
High throughput route selection in multi-rate
ad hoc wireless networks. In proceedings of
Wireless On-demand Network Systems
International Journal of Computer Networking,
Wireless and Mobile Communications (IJCNWMC)
ISSN(P): 2250-1568; ISSN(E): 2278-9448
Vol. 5, Issue 1, Jan 2016, 1-4
© TJPRC Pvt. Ltd.
4 WWW.IJCNWMC.COM
WONS 2004, Madonna di Campiglio, Italy,
2004.
[2] M. Becker, AL. Beylot, and R. Dhaou.
Aggregation methods for performance
evaluation of communication networks,
performance evaluation. n proceedings of
International Symposium of Performance
evaluation - Stories and Perspectives, Vienna,
Austria, Eds: G. Kotsis, pp 215-230, 2003.
[3] A, Sabharwal B. Sadeghi, V. Kanodia and
E. Knightly. Opportunistic media access for
multirate ad hoc networks. In proceedings of
ACM MOBICOM 2002, Atlanta, GA, 2002.
[4] D. De Couto, D. Aguayo, B. Chambers,
and R. Morris. Performance of multihop
wireless networks: Shortest path is not enough.
In The First Workshop on Hot Topics in
Networks (HotNets-I), Princeton, New Jersey,
October 2002. In proceedings of ACM
SIGCOMM.
[5] R. Dube, C Rais, K. Wang, and S. Tripathi.
Signal stability based adaptive routing (ssa)
for ad hoc mobile networks. IEEE Personal
Communication, 1997.
[6] M. Conti G Anastasi, E. Borgia and E.
Gregori. IEEE 802.11 ad hoc networks:
Performance measurements. In proceedings of
Distributed Computing Systems Workshops
ICDCSW'03, Rhode Island, USA, May 2003.
[7] Vincent Gauthier. Adov-uu with cross-
layer, 2004. French National Institute of
Telecommuncation, http : //www-rst. int-evry
. f r/~gauthier/.
[8] J. Gomez, A .Campbell, M. Naghshineh,
and C. Bisdikian. Paro: Supporting dynamic
power controlled routing in wireless ad hoc
networks. ACM/Kluwer Journal on Wireless
Networks (WINET), 9(5), 2003.
[9] N. H. Vaidya G. Holland and P. Bahl. A
rate-adaptative mac protocol for multihop
wireless networks. In proceedings of Mobile
Computing and networking, 2001.
[10] E. Nordstrom H. Lundgren and C.
Tschudin. Coping with communication gray
zone in IEEE based ad hoc networks. In
proceedings of WoWMoM, 2002.
[11] Bingyi Guo, F. Richard Yu, Shengming
Jiang, Xin Ao, and Victor C. M. Leung,”
Energy-Efficient Topology Management
With Interference Cancellation in
Cooperative Wireless Ad Hoc Networks” in
IEEE transactions on network and service
management, vol. 11, no. 3, september 2014
[12] Sajal Sarkar and Raja Datta,” A Secure
and Energy-Efficient Stochastic Routing
Protocol for Wireless Mobile Ad-hoc
Networks” in IEEE transactions on network
and service management, vol. 11, no. 3,
september 2014
[13] Wei Sun, Zheng Yang, Xinglin Zhang,
and Yunhao Liu,” Energy-Efficient Neighbor
Discovery in Mobile AdHoc and Wireless
Sensor Networks: A Survey” in IEEE
communications surveys & tutorials, vol. 16,
no. 3, third quarter 2014
[14] Javad Vazifehdan, R. Venkatesha
Prasad, and Ignas Niemegeers,” Energy-
Efficient Reliable Routing Considering
Residual Energy in Wireless Ad Hoc
Networks” in IEEE transactions on mobile
computing, vol. 13, no. 2, february 2014

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rupali published paper

  • 1. International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) ISSN(P): 2250-1568; ISSN(E): 2278-9448 Vol. 5, Issue 1, Jan 2016, 1-4 © TJPRC Pvt. Ltd. 1 WWW.IJCNWMC.COM A SURVEY-EFFICIENT AND STABLE ROUTE SELECTION BY USING CROSS LAYER CONCEPT Rupali Singh, Gajendra Singh Dhakad Rupalis327@gmail.com , gajendranitm@gmail.com Dept. of CSE, NITM (M.P) ABSTRACT: - In a MANET, one of the critical issues is link failure due to mobility of nodes in the network, for reducing link failure, protocol must find a suitable path in the network for efficient communication. This method use concept of cross layer like signal strength of the physical layer. The proposed novel cross layer design concept that could improve the network throughput significantly for mobile ad hoc networks. In this technique we have calculated signal strength and mobility for choosing the strongest efficient and stable path for data transmission. This novel algorithm tries to improve the problems held in AODV protocol by calculating signal strength and mobility of next node for data transmission, if either signal strength or mobility have varies due to some internal problem than other will provide the backup and choose the convenient and efficient path and it will reduces the problem of link faiure. INTRODUCTION:- There are basically two techniques for data transmission i.e. transmission through wired network and wireless network. An ad hoc network consists of mobile nodes which communicate with each other through multi-hop routes. To date, numerous routing protocols [10] have been proposed. Many of them well address the problem of establishing and maintaining the routes in a dynamically changing network topology. However, most routing protocols are designed with less emphasis on the issues at the lower layers. These include the variable link capacity at the physical layer and the fluctuating contention level at the MAC layer. In this paper, we attempt to bridge this gap by introducing a cross layer design concept. By exploiting the lower layer channel information, such as the variable link capacity through spectrally efficient rate adaptation and contention level estimation at the MAC layer, we will show that significant performance enhancement in both the network throughput and delay are achievable. Thus, we take an ”active” approach in designing an ad hoc networking protocol with more realistic and detailed wireless channel model. It is worthwhile to mention that in this paper we are taking a channel-adaptive approach– rather than a quality-of-service driven approach–of cross layer networking such that the channel- adaptive information is flowing from the lower layer to the higher one, with the objective of maximizing the network throughput; the resource allocation message and decisions made at the higher layer with a more global view of the network are flowing downward. Adaptive modulation transmission techniques [3] were first proposed for cellular mobile systems as a means to increase the spectral efficiency in a point to point link. When the channel estimate is available at the transmitter, a transmission scheme can be adaptively selected in accordance with the learned channel parameters. It is shown in [3] that spectral efficiency is optimized by joint rate and power adaptation when the channel side information is used at the transmitter. Practical rate and power adaptation modulation techniques [2] have also been investigated and
  • 2. International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) ISSN(P): 2250-1568; ISSN(E): 2278-9448 Vol. 5, Issue 1, Jan 2016, 1-4 © TJPRC Pvt. Ltd. 2 WWW.IJCNWMC.COM shown to achieve near optimal spectral efficiency. Rate adaptation techniques has also been applied to mobile ad hoc networks. The request to send (RTS) packet and the clear to send (CTS) packet defined in the IEEE 802.11 standard could be exploited to perform channel estimation and to feed receiver’s estimate of the channel back to the transmitter. In [9], a rate adaptation mechanism is introduced for frequency hopping systems. Transmission rate is adjusted based on the number of erasures and errors in the received packets. In [5], a rate adaptive MAC algorithm, similar to ours but developed independently, is proposed. Explicit channel parameter estimation is mandatory in most advanced transceiver systems for robust and spectrum efficient performance [8]. With a simple cross layer communications between the MAC and Physical layers, we could achieve a large performance improvement without incurring any significant overhead. Wireless technologies have become popular. Since portable devices like mobile phones, computers, laptop and personal digital assistance require fixed infrastructure such as base stations or access point, so they need an access to a static network to support their mobile device services. To provide a solution to this problem Mobile Ad hoc Networks (MANETs) have evolved. MANETs are autonomous systems consisting of mobile hosts that are connected by multi-hop wireless links. MANETs are decentralized networks that develop through self-organization. MANETs is formed by a group of nodes that can transmit, receive and relay data among themselves. In a mobile ad hoc network there is no fixed infrastructure therefore the mobile hosts communicate over multihop wireless links. These are often called infrastructure-less networking since the mobile nodes in the network dynamically establish routing paths between them. In MANETs the nodes communicate over a reliable wireless links within the transmission range of each other. In large MANETs, if two hosts are not within the communication range of each other they communicate if other hosts lying in between are willing to forward packets for them. Therefore, every node participates in multi- hop routing to reach all nodes in the network. Flooding is a cause of routing in MANETs which leads to degradation of the efficient use of bandwidth and depletes battery-power of nodes [4, 5]. It searches for route when required by source node i.e. on demand. It possesses the characteristic of maintaining the routes in the case of dynamic network where each node is moving. It incurs low processing and memory overhead which in turn minimizes the overall network utilization makes it appropriate for the MANET. Furthermore, this protocol makes use of sequence number for loop freedom mechanism in each route. The steps to send a packet from sender to destination through AODV are as follows: Firstly, the source node starts route discovery through broadcasting Route Request (RREQ) packet then adjacent nodes will forward RREQ until the packet is reached at the destination or RREQ arrives at the node that has a new fresh route to the destination. Secondly, a Route Reply (RREP) is sent by receiver to the source (originated route). Once the sender-node receives a RREP, it can initialize using this path for data packet transmission. In the case of link failure, Route Error (RERR) is sent back to the source node. It is generated by the node at which link failure is occurred. RELATED WORK In Holmer [1] the authors proposed a new network metric the medium Time Metric (MTM), which is derived from a general theoretical model of the reachable throughput in multi-rate ad hoc wireless networks. The
  • 3. International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) ISSN(P): 2250-1568; ISSN(E): 2278-9448 Vol. 5, Issue 1, Jan 2016, 1-4 © TJPRC Pvt. Ltd. 3 WWW.IJCNWMC.COM MTM avoids using the long range link favored by shortest path routing in favor of shorter, higher throughput, more reliable links. In Gomez [8] the authors propose a new power-aware routing technique for wireless ad hoc networks (PARO) where all nodes are located within the maximum transmission range of each other. PARO uses a packet forwarding technique where immediate nodes can elect to be redirector on behalf of source destination pairs with the goal of reducing the overall transmission power needed to deliver packet in the network, thus, increasing the operational lifetime of network devices. In De Couto [4] the authors show that the minimum hop path generally contains Cross- Layer Simulation and Optimization for Mobile ad hoc Networks 15 links which exhibit low reliability. In Dube [5] and Nordstrom [10] the authors present routing protocols which are based on signal stability rather than on only a shortest path in order to provide increased path reliability. Based on the IEEE 802.11 protocol, The Receiver Based Auto Rate (RBAR) protocol was presented in Vaidya [9]. RBAR allows the receiving node to select the rate. This is accomplished by using the SNR or the RTS packet to choose the most appropriate rate and to communicate that rate to the sender using the CTS packets. This allows much faster adaptation to the changing channel conditions than ARF, but requires some modifications to the 802.11 standard. The Opportunistic Auto Rate (OAR) protocol which is presented in Sabharwal [3], operates using the same receiver based approach, but allows high-rate multipacket burst to take advantage of the coherence time of good channel conditions. The bursts also dramatically reduce the overhead at high rates by smoothing the cost of contention period and RTS CTS frames over several packets. PROPOSED PLAN:- In Route discovery phase each node calculate signal strength of neighbor and also calculate mobility if mobility is greater than threshold it will Receive the RREQ from neighbor node on the basis of signal strength otherwise it select on the basis of traditional AODV parameter (min hop count with default transmission range for packet receiving, this procedure is followed up to destination node, at destination, node reply all RREQ which is received by destination and send it to sender node. After that sender sends data through this route which have minimum hop count, with the help of this method we can select most stable path among all route. This method also enhanced the maintainance phase, in this phase every node monitor’s own energy if it is less than threshold then node send the alert message to sender node for searching new path before link failure , This approach will reduce the link failure and also select best stable path for communication which will enhance the performance of AODV protocol. CONCLUSION:- In this paper, we discuss a new design concept in routing protocols for mobile ad hoc networks. We argue that by exploiting information from the cross layer and the physical layer, significant performance enhancement of a routing protocol could be achieved. In this work, calculation of signal strength and mobility takes place simultaneously so that if any properties can vary with some internal harms than the other properties takes as priority calculated value and then its follow our routing path. thus it reduces the problem of link failure REFERENCES [1] D. Holmer B. Awerbuch and H. Rubens. High throughput route selection in multi-rate ad hoc wireless networks. In proceedings of Wireless On-demand Network Systems
  • 4. International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) ISSN(P): 2250-1568; ISSN(E): 2278-9448 Vol. 5, Issue 1, Jan 2016, 1-4 © TJPRC Pvt. Ltd. 4 WWW.IJCNWMC.COM WONS 2004, Madonna di Campiglio, Italy, 2004. [2] M. Becker, AL. Beylot, and R. Dhaou. Aggregation methods for performance evaluation of communication networks, performance evaluation. n proceedings of International Symposium of Performance evaluation - Stories and Perspectives, Vienna, Austria, Eds: G. Kotsis, pp 215-230, 2003. [3] A, Sabharwal B. Sadeghi, V. Kanodia and E. Knightly. Opportunistic media access for multirate ad hoc networks. In proceedings of ACM MOBICOM 2002, Atlanta, GA, 2002. [4] D. De Couto, D. Aguayo, B. Chambers, and R. Morris. Performance of multihop wireless networks: Shortest path is not enough. In The First Workshop on Hot Topics in Networks (HotNets-I), Princeton, New Jersey, October 2002. In proceedings of ACM SIGCOMM. [5] R. Dube, C Rais, K. Wang, and S. Tripathi. Signal stability based adaptive routing (ssa) for ad hoc mobile networks. IEEE Personal Communication, 1997. [6] M. Conti G Anastasi, E. Borgia and E. Gregori. IEEE 802.11 ad hoc networks: Performance measurements. In proceedings of Distributed Computing Systems Workshops ICDCSW'03, Rhode Island, USA, May 2003. [7] Vincent Gauthier. Adov-uu with cross- layer, 2004. French National Institute of Telecommuncation, http : //www-rst. int-evry . f r/~gauthier/. [8] J. Gomez, A .Campbell, M. Naghshineh, and C. Bisdikian. Paro: Supporting dynamic power controlled routing in wireless ad hoc networks. ACM/Kluwer Journal on Wireless Networks (WINET), 9(5), 2003. [9] N. H. Vaidya G. Holland and P. Bahl. A rate-adaptative mac protocol for multihop wireless networks. In proceedings of Mobile Computing and networking, 2001. [10] E. Nordstrom H. Lundgren and C. Tschudin. Coping with communication gray zone in IEEE based ad hoc networks. In proceedings of WoWMoM, 2002. [11] Bingyi Guo, F. Richard Yu, Shengming Jiang, Xin Ao, and Victor C. M. Leung,” Energy-Efficient Topology Management With Interference Cancellation in Cooperative Wireless Ad Hoc Networks” in IEEE transactions on network and service management, vol. 11, no. 3, september 2014 [12] Sajal Sarkar and Raja Datta,” A Secure and Energy-Efficient Stochastic Routing Protocol for Wireless Mobile Ad-hoc Networks” in IEEE transactions on network and service management, vol. 11, no. 3, september 2014 [13] Wei Sun, Zheng Yang, Xinglin Zhang, and Yunhao Liu,” Energy-Efficient Neighbor Discovery in Mobile AdHoc and Wireless Sensor Networks: A Survey” in IEEE communications surveys & tutorials, vol. 16, no. 3, third quarter 2014 [14] Javad Vazifehdan, R. Venkatesha Prasad, and Ignas Niemegeers,” Energy- Efficient Reliable Routing Considering Residual Energy in Wireless Ad Hoc Networks” in IEEE transactions on mobile computing, vol. 13, no. 2, february 2014