Name
Abstract | ||
|---|---|---|
Wireless Sensor Network (WSN) is a real-time monitor network [1]. It can sense and collect environmental information within the network or monitor objects. These data are processed to obtain detailed and accurate information. Research focusing on Wireless Sensor Network is routing, positioning technology, energy control and security guarantees. Routing technology is the basis for other research directions, and now a lot of routing algorithms have been proposed. This paper is based on the needs of the small transmission delay. The Minimum Hop Routing (MHR) algorithm is studied. MHR algorithm is mainly based on the node updating the routing table, so as to build each routing table, so as to build a path from source node to destination node. MHR has the advantage of network delay is small, but MHR also has shortcomings-with the data transmission, some path will soon run out of energy, the death of some nodes will depart the network into several parts, reduce network connecting. In order to solve the problem, this paper presents an improved minimum hop routing algorithm. First, sensor nodes are randomly distributed by region, Second, selecting the maximum energy node as the target node for transmission. Through analysis and experiment the approach has effectively reduced the transmission hops, and compared with the Flooding, the node energy consumption has increased. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SNPD.2012.130 | SNPD |
Keywords | Field | DocType |
wsn,positioning technology,improved minimum hop routing,layered,flooding,wireless sensor network,network delay,transmission delay,energy,environmental information,mhr algorithm,routing technology,wireless sensor network (wsn),source node,destination node,improved minimum hop routing algorithm,improved minimum hop routing protocol,security guarantees,routing table,real-time monitor network,maximum energy node selection,routing protocols,minimum hop routing (mhr),transmission hop reduction,energy control,wireless sensor networks,sensor node,node energy consumption,router,target node,maximum energy node,routing | Link-state routing protocol,Multipath routing,Dynamic Source Routing,Computer science,Enhanced Interior Gateway Routing Protocol,Static routing,Computer network,Routing table,Routing Information Protocol,Geographic routing,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4673-2120-4 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yankun Li | 1 | 0 | 0.68 |
| Ming Zhu | 2 | 32 | 14.40 |
| Haiqin Qu | 3 | 0 | 0.34 |
| Nannan Wang | 4 | 1 | 2.75 |
| Yichuan Song | 5 | 2 | 1.08 |