Appraisal on Link Lifetime Prediction Using Geographical Information
Geographical routing protocol requires node physical
location information to make forwarding decision. Geographical
routing uses location service or position service to obtain the position
of a node. The geographical information is a geographic coordinates
or can be obtained through reference points on some fixed coordinate
system. Link can be formed between two nodes. Link lifetime plays a
crucial role in MANET. Link lifetime represent how long the link is
stable without any failure between the nodes. Link failure may occur
due to mobility and because of link failure energy of nodes can be
drained. Thus this paper proposes survey about link lifetime
prediction using geographical information.
[1] Siva Ram Murthy, “Adhoc wireless network,” Prentice Hall,2004
[2] Stefano Basagni, Marco Conti, Silvia Gordano, Ivan Stojmenovic,
“Mobile Adhoc Networking,” ISBN:978-0-471-65688-3,2004
[3] Morteza Maleki, Karthik Dantu, and Massoud Pedram, “Lifetime
Prediction Routing in Mobile Ad Hoc Networks,”2003
[4] J-H Chang and L. Tassiulas, “Energy Conserving Routing in Wireless
Ad-hoc networks”, Proceedings of INFOCOM 2001.
[5] Floriano De Rango, Francesca Guerriero, and Peppino Fazio, “Link-
Stability and Energy Aware Routing Protocol in Distributed Wireless
Networks,” IEEE Transactions On Parallel And Distributed Systems,
Vol. 23, No. 4, April 2012
[6] M. Maleki, K. Dantu, and M. Pedram, “Lifetime Prediction Routing in
Mobile Ad Hoc Networks,” Proc. IEEE Wireless Comm. and
Networking (WCNC ’03), DOI: 10.5121/ijasuc.2012.3302pp. 1185-
1190, Mar. 2003.
[7] Ajay Kumar, Sheethal M.S, Shany Jophin, Priya Philip, “Optimum
Route Life Time Prediction of Trusted Dynamic Mobile Nodes in Large
Scale Manets,” International Journal of Ad hoc, Sensor & Ubiquitous
Computing (IJASUC) Vol.3, No.3, June 2012.
[8] Sangsu Jung, Jaehwi Shin, Dujeong Lee, Youngwoo Lee, Sangyoon
Yoon, Jeonghoon Mo, “A Geographic Routing Protocol Utilizing Link
Lifetime and Power Control for Mobile Ad hoc Networks,” ISBN:978-
1-60558-149-1, 2008.
[9] Dongjin Son, Ahmed Helmy, and Bhaskar Krishnamachari, “The effect
of mobility-induced location errors on geographic routing in mobile ad
hoc and sensor networks: analysis and improvement using mobility
prediction,” in IEEE Trans. On Mobile Computing, Vol. 3(3), 2004.
[10] Shengming Jiangy, Dajiang Hez and Jianqiang Raoz, “A Predictionbased
Link Availability Estimation for Mobile Ad Hoc Networks,” 0-
7803-7016-3 IEEE, 2001.
[11] M. Mauve, J. Widmer, and H. Hartenstein, “A Survey on Position-
Based Routing in Mobile Ad-Hoc Networks,” IEEE Network, vol. 15,
no. 6, pp. 30-39. Nov./Dec. 2001.
[12] N. Shrestha and B. Mans, “Exploiting overhearing: Flow-aware routing
for improved lifetime in ad hoc networks,” in Proc. IEEE Int. Conf.
Mobile Ad-hoc Sens. Syst., 2007, pp. 1–5.
[13] C.-K. Toh, “Maximum battery life routing to support ubiquitous mobile
computing in wireless ad hoc networks,” IEEE Commun. Mag., vol. 39,
no. 6, pp. 138–147, Jun. 2001.
[14] William Su, Sung-Ju Lee, and Mario Gerla, “Mobility prediction and
routing in ad hoc wireless networks,” in International Journal of
Network Management, Vol. 11(3), John Wiley & Sons, 2001, pp. 3-30.
[15] T.S. Rappaport, Wireless Communications: Principles and Practice,
Prentice Hall, Upper Saddle River, NJ, 1995.
[16] R. Dube, C. D. Rais, K. Y. Wang, and S. K. Tipathi, “Signal stability
based adaptive routing (SSA) for ad hoc mobile networks,” IEEE Papers
Commun, vol. 4, no. 1, pp. 598-598, 2010.
[17] X. Hu, J. Wang, and C. Wang, “Routing in Mobile AdHoc Networks,”
IEEE conference.
[18] IETF MANET WG (Mobile Ad hoc NETwork),
www.ietf.ora/html.charters/manet-charter.html.
[19] C. E. Perkins, E. M. Belding-Royer, and S. R. Das, “Ad hoc On-
Demand Distance Vector (AODV) Routing”, (7), IETF Internet Draft
draft-ietf-manet-aodv-13.txt.
[20] L. Ouakil, S. Senouci, and G. Pujolle, "Performance Comparison of Ad
Hoc Routing Protocols Based on Energy Consumption", Torino, Italy,
September 2002.
[21] D. B. Johnson, D. A. Maltz, Y.–C. Hu, “The Dynamic Source Routing
Protocol for Mobile Ad Hoc Networks (DSR)”, draft-ietf-manet-dsr-
09.txt.
[22] K. Woo, C. Yu, D. Lee, H. Y. Youn, and Ben Lee, “Non- Blocking,
Localized Routing Algorithm for Balanced Energy Consumption in
Mobile Ad Hoc Networks”, Cincinnati, Ohio, August 15-18, pp. 117-
124, 2001.
[23] M. Maleki, K. Dantu, and M. Pedram, “Power-aware Source Routing in
mobile ad hoc networks”, pp. 72-75, August 12-14, 2002.
[24] M. Maleki, K. Dantu, and M. Pedram, “Lifetime Prediction Routing in
Mobile Ad Hoc Networks”, IEEE Wireless communication and network
conferencing, 2003.
[25] S. Priyadsrini, T. M. Navamani, and Venkatesh Mahadevan, “An
Efficient Route Discovery in Manets with Improved Route Lifetime”,
International Journal of Information and Electronics Engineering, Vol.
2, No. 4, July 2012
[1] Siva Ram Murthy, “Adhoc wireless network,” Prentice Hall,2004
[2] Stefano Basagni, Marco Conti, Silvia Gordano, Ivan Stojmenovic,
“Mobile Adhoc Networking,” ISBN:978-0-471-65688-3,2004
[3] Morteza Maleki, Karthik Dantu, and Massoud Pedram, “Lifetime
Prediction Routing in Mobile Ad Hoc Networks,”2003
[4] J-H Chang and L. Tassiulas, “Energy Conserving Routing in Wireless
Ad-hoc networks”, Proceedings of INFOCOM 2001.
[5] Floriano De Rango, Francesca Guerriero, and Peppino Fazio, “Link-
Stability and Energy Aware Routing Protocol in Distributed Wireless
Networks,” IEEE Transactions On Parallel And Distributed Systems,
Vol. 23, No. 4, April 2012
[6] M. Maleki, K. Dantu, and M. Pedram, “Lifetime Prediction Routing in
Mobile Ad Hoc Networks,” Proc. IEEE Wireless Comm. and
Networking (WCNC ’03), DOI: 10.5121/ijasuc.2012.3302pp. 1185-
1190, Mar. 2003.
[7] Ajay Kumar, Sheethal M.S, Shany Jophin, Priya Philip, “Optimum
Route Life Time Prediction of Trusted Dynamic Mobile Nodes in Large
Scale Manets,” International Journal of Ad hoc, Sensor & Ubiquitous
Computing (IJASUC) Vol.3, No.3, June 2012.
[8] Sangsu Jung, Jaehwi Shin, Dujeong Lee, Youngwoo Lee, Sangyoon
Yoon, Jeonghoon Mo, “A Geographic Routing Protocol Utilizing Link
Lifetime and Power Control for Mobile Ad hoc Networks,” ISBN:978-
1-60558-149-1, 2008.
[9] Dongjin Son, Ahmed Helmy, and Bhaskar Krishnamachari, “The effect
of mobility-induced location errors on geographic routing in mobile ad
hoc and sensor networks: analysis and improvement using mobility
prediction,” in IEEE Trans. On Mobile Computing, Vol. 3(3), 2004.
[10] Shengming Jiangy, Dajiang Hez and Jianqiang Raoz, “A Predictionbased
Link Availability Estimation for Mobile Ad Hoc Networks,” 0-
7803-7016-3 IEEE, 2001.
[11] M. Mauve, J. Widmer, and H. Hartenstein, “A Survey on Position-
Based Routing in Mobile Ad-Hoc Networks,” IEEE Network, vol. 15,
no. 6, pp. 30-39. Nov./Dec. 2001.
[12] N. Shrestha and B. Mans, “Exploiting overhearing: Flow-aware routing
for improved lifetime in ad hoc networks,” in Proc. IEEE Int. Conf.
Mobile Ad-hoc Sens. Syst., 2007, pp. 1–5.
[13] C.-K. Toh, “Maximum battery life routing to support ubiquitous mobile
computing in wireless ad hoc networks,” IEEE Commun. Mag., vol. 39,
no. 6, pp. 138–147, Jun. 2001.
[14] William Su, Sung-Ju Lee, and Mario Gerla, “Mobility prediction and
routing in ad hoc wireless networks,” in International Journal of
Network Management, Vol. 11(3), John Wiley & Sons, 2001, pp. 3-30.
[15] T.S. Rappaport, Wireless Communications: Principles and Practice,
Prentice Hall, Upper Saddle River, NJ, 1995.
[16] R. Dube, C. D. Rais, K. Y. Wang, and S. K. Tipathi, “Signal stability
based adaptive routing (SSA) for ad hoc mobile networks,” IEEE Papers
Commun, vol. 4, no. 1, pp. 598-598, 2010.
[17] X. Hu, J. Wang, and C. Wang, “Routing in Mobile AdHoc Networks,”
IEEE conference.
[18] IETF MANET WG (Mobile Ad hoc NETwork),
www.ietf.ora/html.charters/manet-charter.html.
[19] C. E. Perkins, E. M. Belding-Royer, and S. R. Das, “Ad hoc On-
Demand Distance Vector (AODV) Routing”, (7), IETF Internet Draft
draft-ietf-manet-aodv-13.txt.
[20] L. Ouakil, S. Senouci, and G. Pujolle, "Performance Comparison of Ad
Hoc Routing Protocols Based on Energy Consumption", Torino, Italy,
September 2002.
[21] D. B. Johnson, D. A. Maltz, Y.–C. Hu, “The Dynamic Source Routing
Protocol for Mobile Ad Hoc Networks (DSR)”, draft-ietf-manet-dsr-
09.txt.
[22] K. Woo, C. Yu, D. Lee, H. Y. Youn, and Ben Lee, “Non- Blocking,
Localized Routing Algorithm for Balanced Energy Consumption in
Mobile Ad Hoc Networks”, Cincinnati, Ohio, August 15-18, pp. 117-
124, 2001.
[23] M. Maleki, K. Dantu, and M. Pedram, “Power-aware Source Routing in
mobile ad hoc networks”, pp. 72-75, August 12-14, 2002.
[24] M. Maleki, K. Dantu, and M. Pedram, “Lifetime Prediction Routing in
Mobile Ad Hoc Networks”, IEEE Wireless communication and network
conferencing, 2003.
[25] S. Priyadsrini, T. M. Navamani, and Venkatesh Mahadevan, “An
Efficient Route Discovery in Manets with Improved Route Lifetime”,
International Journal of Information and Electronics Engineering, Vol.
2, No. 4, July 2012
@article{"International Journal of Earth, Energy and Environmental Sciences:70681", author = "C. Nallusamy and A. Sabari and K. Suganya", title = "Appraisal on Link Lifetime Prediction Using Geographical Information", abstract = "Geographical routing protocol requires node physical
location information to make forwarding decision. Geographical
routing uses location service or position service to obtain the position
of a node. The geographical information is a geographic coordinates
or can be obtained through reference points on some fixed coordinate
system. Link can be formed between two nodes. Link lifetime plays a
crucial role in MANET. Link lifetime represent how long the link is
stable without any failure between the nodes. Link failure may occur
due to mobility and because of link failure energy of nodes can be
drained. Thus this paper proposes survey about link lifetime
prediction using geographical information.", keywords = "MANET, Geographical routing, Link lifetime, Link
stability.", volume = "8", number = "11", pages = "788-4", }
