TY - GEN
T1 - Traffic load distribution of circular sailing routing in dense wireless networks
AU - Li, Fan
AU - He, Xiao
AU - Chen, Siyuan
AU - Jiang, Libo
AU - Wang, Dongliang
AU - Wang, Yu
PY - 2013
Y1 - 2013
N2 - Shortest path routing protocol intends to minimize the total delay between every pair of destination node and source node. However, it is also well-known that shortest path routing suffers from uneven distribution of traffic load, especially in dense wireless networks. Recently, several new routing protocols are proposed in order to balance traffic load among nodes in a network. One of them is circular sailing routing(CSR) [1], [2] which maps nodes on the surface of a sphere and select routes based on surface distances. CSR has been demonstrated with better load balance than shortest path routing via simulations. However, it is still open that what load distribution CSR can achieve. Therefore, in this paper, we theoretically analyze the traffic load distribution of CSR in a dense circular wireless network. Using the techniques developed by Hyytïa and Virtamo [3], we are able to derive the traffic load of any point inside the network. We then conduct extensive simulations to verify our theoretical results with grid and random networks.
AB - Shortest path routing protocol intends to minimize the total delay between every pair of destination node and source node. However, it is also well-known that shortest path routing suffers from uneven distribution of traffic load, especially in dense wireless networks. Recently, several new routing protocols are proposed in order to balance traffic load among nodes in a network. One of them is circular sailing routing(CSR) [1], [2] which maps nodes on the surface of a sphere and select routes based on surface distances. CSR has been demonstrated with better load balance than shortest path routing via simulations. However, it is still open that what load distribution CSR can achieve. Therefore, in this paper, we theoretically analyze the traffic load distribution of CSR in a dense circular wireless network. Using the techniques developed by Hyytïa and Virtamo [3], we are able to derive the traffic load of any point inside the network. We then conduct extensive simulations to verify our theoretical results with grid and random networks.
KW - Load balancing
KW - circular sailing routing
KW - load distribution
KW - routing
UR - http://www.scopus.com/inward/record.url?scp=84881599363&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2013.6554878
DO - 10.1109/WCNC.2013.6554878
M3 - Conference contribution
AN - SCOPUS:84881599363
SN - 9781467359399
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 2051
EP - 2056
BT - 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
T2 - 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
Y2 - 7 April 2013 through 10 April 2013
ER -