Mobile Sink Routing Protocol with Registering in Cluster-Based Wireless Sensor Networks

Abstract

Abstract. Wireless Sensor Networks (WSNs) are wireless networks consisting of sink nodes and multiple sensor nodes. While the wireless sensor nodes have several advantages, such as the compact size and the low cost, corresponding constraints on resources can result. The greatest challenge among all is the constraint on energy. Therefore, how to minimize the energy consumption while maintaining an extended network lifetime becomes the most critical issue when it comes to the design of the routing protocol for the wireless sensor networks.

A Survey about Routing Protocols with Mobile Sink for Wireless Sensor Network

“…A mobile routing algorithm with registering (MRAR) in cluster-based architecture [10] is proposed to minimize the energy consumption while maintain certain network lifetime. Each sensor needs to establish a neighbor information table in order to hold the information about geographical address and the status of energy supply.…”

A Survey about Location-Based Routing Protocols for Wireless Sensor Network

“…The default forwarding mode is greedy forwarding, and the alternative mode is on demand shortest-path first forwarding mode which is used to recover from greedy dead-ends. A mobile routing algorithm with registering (MRAR) in cluster-based architecture [9] is proposed to minimize the energy consumption while maintain certain network lifetime. Each sensor needs to establish a neighbor information table in order to hold the information Advanced Science and Technology Letters Vol.48 (CIA 2014) about geographical address and the status of energy supply.…”

Pipelined forwarding with energy balance in hexagonal wireless sensor networks

“…The distance between two CHs is , where R is the radius of a hexagonal cluster. Because many DCPs could co‐exist in an H‐WSN, a row‐prime order clustering protocol (ROCP) was proposed for a mobile sink to collect data along a row‐prime path as shown in Figure . However, because in ROCP, three CHs are grouped into a larger cluster, the number of DCP is significantly increased, which consequently increases data collecting time and decreases the overall system throughput.…”